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RESEARCH INTERESTS: biologically inspired neural models, laminar cortical processing, neuromorphic technologies and their industrial applications.

WORK EXPERIENCE

Senior Research Scientist, Boston University. Project Coordinator, Senior Investigator, DARPA SyNAPSE Project, Department of Cognitive and Neural Systems and CELEST, BOSTON UNIVERSITY, Boston, MA (Current)

Coordinating research activities of all BU personnel to ensure timely execution of deliverable milestones, and maintain clear lines of communication between BU and HP SyNAPSE groups. Another major responsibility is to lead research teams for key BU projects in two areas: (1) consulting about the mathematical equations that can realize desired functional competences and be embodied in hardware; and (2) basic research to discover and develop biological neural networks that can achieve self-stabilizing adaptive intelligent behaviors in real-world environments.

Co-coordinator of the CELEST Technology Catalyst, Department of Cognitive and Neural Systems and CELEST, BOSTON UNIVERSITY, Boston, MA (Current)

Facilitating efforts within CELEST to ensure a continuation of technology transfer of the models and knowledge developed within the Center. Responsibilities include managing technology transfer activities including building industrial partnerships, marketing CELEST models and technologies on the internet, assisting in SBIR/STTR grant development, promoting internships for students in partner companies, and creating computing infrastructure for technology development.

Postdoctoral Research Fellow, Department of Cognitive and Neural Systems, BOSTON UNIVERSITY, Boston, MA (Current)

Computational modeling of the cerebral cortex.

Currently investigating how large-scale databases can be learned with networks of spiking neurons. The outcome of this research will propose clear design principles that can be embodied in the next generation of brain-based chips to be used to learn massive, real-world databases and solve challenging technological problems.
Currently co-supervising three graduate students in four research areas. The first project is an extension of the SMART model (Grossberg and Versace, 2008) in the domains of perceptual grouping. The second pertains to motion perception in laminar circuits of primary and secondary visual areas. The third is targeted at mechanistically characterizing the transfer signal function of networks of spiking neurons. Finally, the fourth concerns applications of machine learning techniques to financial time series modeling.

Development of neural networks for nano chips. Currently working on a research team to define and build biological neural network systems that can achieve self-stablized adaptive intelligent behaviors in real-world environments that can be implemented in nano-chips. This work is being carried out with Hewlett Packard (HP).
Hi-Tech software development project. Currently leading a research team of graduate students and postdocs in developing an innovative software platform for advanced neural modeling. The software, the KDE Integrated NeuroSimulation Software (KinNeSS, www.kinness.org), has become the primary tool in many departmental research projects in designing and testing complex neural systems.

Leadership and student outreach.

Chairman of the organizing committee of the first CELEST/CNS Career Day event at the Department of Cognitive and Neural Systems at Boston University (24 October 2007) which brought together about 50 students from selected BU Departments and five representatives from local hi-tech companies (http://cns-web.bu.edu/celest/events/careerday07.htm). Responsibilities involved planning and organizing the event and coordinate the invitations for attendees and speakers.

Member of the organizing committee of the 9th MIT European Career Fair. The event, which took place in January 2005, brought together 34 companies, 9 non-profit organizations, and over 3000 registered candidates. Participating companies include, among others, BBVA, Lufthansa, Goldman Sachs, Barilla, Shell, Schlumberger, Boston Consulting Group, GE, Siemens (https://www.euro-career.com/).

Chair of the organizing committee of the postdoc and student-organized workshops that took place at the Twelfth and Thirteenth International Conference on Cognitive and Neural Systems (ICCNS, May 2008, 2009). Invited leading researchers in the fields of neural prosthetics and computational modeling of mental disorders and coordinated the organization of the event.

Leadership role in the organizing committee of the 2010 NSF sponsored Inter-Science of Learning Centers (iSLC) workshop for approximately 100 postdocs and graduate students in the NSF sponsored Science of Learning Centers from around the country. Responsibilities include review of submissions for scientific symposia sessions, inviting speakers, organizing hands on workshops, and general administrative duties.

Self-employed Consultant, Trieste, Italy

SATA, Udine, Italy (September 2005 – January 2007)

Designed and implemented AI software for intrusion detection systems and ATM/Credit Card fraud protection. Supervised the MA thesis of an Italian Student at the Facoltà di Ingegneria, Dipartimento di Ingegneria Elettrica, Gestionale e Meccanica, Udine, Italy. The thesis, entitled “Integrazione tra sistemi di replicazione sicura dei log informatici e strumenti di analisi basati su reti neurali”, is a direct implementation of the systems developed during the consulting project to computer network intrusion/misuse.

Contracted Insiel, Trieste, Italy (September 2000 – July 2001)

Implemented AI-based software components aimed at helping Italian public functionaries to quickly obtain pertinent documentation in large databases for private citizens and business owners during the interview process.

Contracted by Progetto Impresa, Padova, Italy (February 2001)

Conceived and implemented curriculum for Web Development awarded winning entry for the 2001 Euro Fund competition.

Contracted by the Italian Ministry of Health, Verona, Italy (April 2000 – January 2001)

Developed and published nationwide website (www.dronet.org) for drug prevention and treatment for professionals. Coordinated a team of more than ten members in defining the structure, gathering contents, beta testing and publishing. The website is currently used by the Ministry of Health to provide key support for thousands of professionals in the field of drug prevention and treatment. The website made use of web design and database software components that combine multimedia contents with functional database access containing sensitive medical information.

Contracted by the Veneto Region, Venezia, Italy (March 2000 – January 2001)

Contracted by the Italian Veneto region to perform statistical analysis on the results of a study regarding the impact of alcohol abuse prevention policies.

Contracted by LED, Trieste, Italy (June 2000 – September 2000)

Contracted by LED (www.ledfvg.it) to implement curriculum and teach Web Development.

Academic Supervision

3 PhD co-advisee

            Jasmin Leveille (Boston University)
            Jesse Palma      (Boston University)
          Charles Wong   (Boston University)

1 MA co-advisee

Andrea Vassallo (University of Udine, Italy)

EDUCATION

Ph.D. degree in Cognitive and Neural Systems, April 2007
BOSTON UNIVERSITY, Boston, MA
Concentration: Biologically-inspired pattern recognition.
PhD advisor: Stephen Grossberg.

Research Projects

Cerebral Cortex Modeling: This research proposes how the brain coordinates multiple levels of thalamocortical and corticocortical processing for learning and paying attention to important information about the world. The neural model developed links attentive learning requirements to detailed brain circuits, notably the layered organization of cells in neocortical circuits and how they interact with subcortical structures to allow stable learning. This model is the first of its kind to transcend the boundaries of cognitive modeling by incorporating realistic neural dynamics (i.e., neural spikes) into its structure.
Pattern Recognition in Finance: Conceived, developed and led a multidisciplinary research team in applying pattern recognition techniques to forecast financial time series. Results presented at Financial Engineering and Application conference in November 2004. More information available at: http://www.neurogest.com.

B.A. in Experimental Psychology (Summa cum Laude), July 1998
UNIVERSITY of TRIESTE, Trieste, Italy
Concentration: Biologically-inspired artificial visual systems

ADDITIONAL EXPERIENCE

Web Designer (September 2000 – July 2001)

Conceived and implemented during undergraduate psychology study one of the first websites in Italy that would provide, along with informative material on psychology and psychotherapy, a database of psychologists, psychotherapists and public services, as well as online psychological consulting (www.psiconet.net and www.psiconet.it).

Teaching Assistant

Department of Psychology, University of Trieste (Psychology of Perception, 1999 – 2000) and Department of Cognitive and Neural Systems, Boston University (Principles and Methods of Cognitive and Neural Modeling I, 2002).

Educational Module Developer (August 2005 – September 2006)

Developed and supervised the implementation of software modules, for high school, undergraduate and graduate-level curricula as part of the NSF sponsored CELEST (Center of Excellence for Learning in Education, Science, and Technology) Science of Learning Center. These modules were based on recent advances in modeling how the brain learns to control behavior. One of the major challenges in their design and implementation was to translate software realized in the context of academic research and reconcile them with the need of users with different levels of expertise and background knowledge in the classroom.

AWARDS RECEIVED

CELEST Award for Computational Modeling of Brain and Behavior (awarded, Boston University Science and Engineering Day, March 2009).
Invited Participant and Fellowship to NSF Sponsored Telluride Workshop on Neuromorphic Engineering (awarded, Telluride, Colorado, April 2008).
Coherent Behavior in Neural Networks (CoBeNN) Workshop travel award (awarded, Palma de Mallorca, Spain, May 2007).
Fulbright Fellowship (awarded, Rome, Italy, September 2001).
Winning entry for the Euro Fund competition (awarded, Padova, Italy, February 2001).
Post-B.A. Fellowship (awarded, University of Trieste, Italy, January 1999)
Erasmus Fellowship (awarded, University College of London, United Kingdom, February 1996).

RELATED COURSEWORK

Principles and Methods of Cognitive and Neural Modeling I
Neural and Computational Models of Vision
Neural and Computational Models of Adaptive Movement Planning and Control
Neural and Computational Models of Recognition, Memory and Attention
Neural and Computational Models of Conditioning, Reinforcement, Motivation
and Rhythm
Introduction to Computational Neuroscience
Neural and Computational Models of Planning and Temporal Structure in Behavior
Topics in Computational Neuroscience

MEMBERSHIPS

International Neural Network Society
Society for Neuroscience

SPECIAL SKILLS

Computer Skills:

Programming Languages: Matlab, C++, Java, LISP.
Web design: HTML, Macromedia Flash, Macromedia Dreamweaver,
Microsoft Front Page
Operating systems: MS Windows XP and lower, Linux, Mac OS.

Language:

Mother tongue: Italian,
Fluent: English, Spanish, Portuguese,
Proficient: French

LIST OF PUBLICATIONS

Patents

Gorchetchnikov, A., Ames, H.M., Versace, M., and Santini, F. (2007). Graphic Processor Based Accelerator System and Method. U.S. Utility Patent filed on September 24, 2007 (Application Number 11860254).

Gorchetchnikov, A., Ames, H.M., Versace, M., and Santini, F. (2006). Hardware, system, and methods for acceleration of massively parallel computations. U.S. Provisional Patent filed on September 25, 2006 (Application Number 60/826,892).

Journal articles

Leveille, J., Versace, M., Grossberg, S. (2009). Running as fast as it can: how spikes form object groupings in the laminar circuits of visual cortex? In press, Journal of Computational Neuroscience.

Grossberg, S., and Versace, M. (2008). Spikes, synchrony, and attentive learning by laminar thalamocortical circuits. Brain Research, 1218C, 278-312 [Authors listed alphabetically].

Versace, M, Ames, H., Leveille, J., Fortenberry, B., and Gorchetchnikov, A. (2008) KInNeSS: A modular framework for computational neuroscience. Neuroinformatics, 2008 Winter; 6(4):291-309. Epub 2008 Aug 10.

Gorchetchnikov, A., Versace, M., and Hasselmo, M.E. (2005). A model of STDP based on spatially and temporally local information: Derivation and combination with gated decay. Neural Networks 18, 458–466.

Versace, M., Bhatt, R., Hinds, O., and Shiffer, M. (2004). Predicting the exchange traded fund DIA with a combination of Genetic Algorithms and Neural Networks. Expert Systems with Applications. 27, 417–425.

Tech reports and Academic Publications

Leveille, J., Versace, M., Grossberg, S. (2009) Spiking dynamics of perceptual grouping in the laminar circuits of visual cortex. CAS/CNS-TR-09-004.

Versace, M, Lorenz, S., St. Clair, T., Panko, M., and Carpenter, G. (2008). CNS Technology Lab Website: Administrative Guide. CAS/CNS-TR-08.

Versace, M. (2007). Laminar circuits for synchronous thalamocortical information processing and attentive stable learning by spiking neurons. PhD Thesis, Boston University.

Versace, M, Ames, H., Leveille, J., Fortenberry, B., and Gorchetchnikov, A. (2007) KInNeSS: A modular framework for computational neuroscience. CAS/CNS-TR-07-007.

Grossberg, S., and Versace, M. (2006). From synapse to self: Spikes, synchrony, and attentive learning by laminar thalamocortical circuits. Technical Report CAS/CNS-TR-06-012 [Authors are listed alphabetically].

Conference papers

Gorchetchnikov, A., Versace, M., and Hasselmo, M.E. (2005). Spatially and temporally local spike-timing-dependent plasticity rule. Proceedings of the International Joint Conference on Neural Networks, Montreal, QC, Canada. 1568, 390–396.

Versace, M., Bhatt, R., Hinds, O. and Shiffer, M. (2004). Optimizing financial applications through biologically-inspired methods. Proceedings of the International Conference on Financial Engineering and Application, Cambridge, MA, USA.

Manuscripts in Preparation

Wong, C., Versace, M., Carpenter, G.(2008) Automatic feature selection in financial time series forecasting. Book chapter in preparation, to appear in Neural learning systems: From biological computation to recognition technology, Springer Series: Studies in Computational Intelligence, Janusz Kacprzyk, Editor.

Versace, M., Palma, J., and Grossberg, S. (2008) Signal transfer function in networks of spiking neurons. TDB.

Versace, M. and Ames, H. (2008) A novel approach to intrusion detection using neural networks. Expert Systems with Applications.

Gorchetchnikov, A., Versace, M., and Ames, H. (2008) Biologically realistic neural models on the GPU. Neural Networks.

Abstracts

Anatoli Gorchetchnikov, Massimiliano Versace, Heather Ames, Jasmin Leveille, Arash Yazdanbakhsh, Ben Chandler, Ennio Mingolla, Greg Snider. General form of learning algorithms for neuromorphic hardware implementation. The international Computational Neuroscience meeting (CNS), San Antonio, TX, July 2010.

Versace, M., Gorchetichnikov, A., Chandler, B., Kozma, R.T., Ames, H.M., and Mingolla, E. (2010) How to build a brain on a nanochip. iSLC 2010, Boston, MA, May 2010.

Versace, M., Gorchetichnikov, A., Chandler, B., Kozma, R.T., Ames, H.M., and Mingolla, E. (2010) How to build a brain on a nanochip. NSF CELEST site visit, Boston, MA, March 2010.

Versace, M., Gorchetichnikov, A., Chandler, B., Kozma, R.T., Ames, H.M., and Mingolla, E. (2010) Neural design for nanochip applications. DARPA SyNAPSE site visit, Palo Alto, MA, March 2010.

Versace, M., Gorchetichnikov, A., Chandler, B., Kozma, R.T., Ames, H.M., and Mingolla, E. (2010) The BU/HP Darpa SyNAPSE team. DARPA SyNAPSE site visit, Palo Alto, MA, March 2010.

Ames, H.M., Versace, M. (2010). Institutionalizing translational research practices with the CELEST Catalyst. NSF CELEST site visit, Boston, MA, March 2010.

Leveille, J., Versace, M., Grossberg, S. (2010). How do object reference frames and motion vector decomposition emerge in laminar cortical circuits? ICCNS 2010, Boston, MA, USA.

Versace, M., Ames, H., Chandler, B., and Lorenz, S. (2010). Applied brain-based learning models. ICCNS 2010, Boston, MA, USA.

Leveille, J., Versace, M., Grossberg, S. (2010). From motion to object: How Visual Cortex Does Motion Vector Decomposition to Create Object-Centered Reference Frames? Vision Science Society (VSS 2010), Naples, USA.

Leveille, J., Versace, M., Grossberg, S. (2009). How do object reference frames and motion vector decomposition emerge in laminar cortical circuits? Society for Neuroscience (SfN 2009), Chicago, USA.

Leveille, J., Versace, M., Grossberg, S. (2009). How laminar visual cortical circuits create object reference frames using motion vector decomposition. Conference on Computational Cognitive Neuroscience (CCNC 2009), Boston, USA.

Leveille, J., Versace, M., Grossberg, S. (2009). How do object reference frames and motion vector decomposition emerge in laminar cortical circuits? Society for Neuroscience Abstract (SfN 2009), Chicago, USA.

Leveille, J., Versace, M., Grossberg, S. (2009). Spiking dynamics during perceptual grouping in the laminar circuits of visual cortex. Boston University Science and Engineering Day, 2009, Boston, MA, USA.

Ames, H., Versace, M., Gorchetchnikov, M. (2009). How can computational neuroscience benefit real world technological applications. iSLC 2009, Seattle, WA, USA

Palma, J., Versace, M., Grossberg, S. (2009). After-hyperpolarization Currents Control Sigmoid Transfer Functions in a Spiking Cortical Model. ICCNS 2009, Boston, MA, USA.

Leveille, J., Grossberg, S., Mingolla, E., Versace, M. (2008). Perceptual grouping in a spiking laminar cortical model. VSS 2008, Naples, FL, USA.

Ames, H., Versace, M., Gorchetchnikov, M. (2008). Learning technologies: embedding CELEST models in real world application. NSF SLC PI meeting abstract, Washington, DC (NSF SLC 2008)

Leveille, J., Grossberg, S., Mingolla, E., Versace, M. (2008). Spiking dynamics of perceptual grouping in the laminar circuits of visual cortex. ICCNS 2008, Boston, MA, USA.

Gorchetchnikov, M., Ames, H. and Versace, M. (2008). Simulating Biologically Realistic Neural Models on Graphic Processing Units. ICCNS 2008, Boston, MA, USA.

Versace, M, Ames, A., Leveille, J., Fortenberry, B., and Gorchetchnikov, A. (2008) KInNeSS: A modular framework for computational neuroscience. ICCNS 2008, Boston, MA, USA.

Versace, M. and Grossberg, S. (2008). From spikes to objects: How multiple levels of thalamic and cortical interactions control visual learning, attenion and recognition. Boston University Science and Engineering Research Symposium: Science Day 2008, Boston, MA, USA.

Versace, M. and Grossberg, S. (2008). Spikes, synchrony, and attentive learning by laminar thalamocortical circuits. NSF inter-Science of Learning Center (iSLC) Conference, Pittsburgh, PA, USA.

Versace, M., and Grossberg, S. (2007). Spikes, synchrony, and attentive learning by laminar thalamocortical circuits. 3rd Annual Conference on Computational Cognitive Neuroscience (CCNC 2007), San Diego, CA, USA.

Versace, M., and Grossberg, S. (2007). Spikes, synchrony, and attentive learning by laminar thalamocortical circuits. Coherent Behavior in Neuronal Networks Workshop (CoBeNN 2007), Palma de Mallorca, Spain.

Versace, M., and Grossberg, S. (2006). From spikes to interareal synchrony: how attentive matching and resonance control learning and information processing by laminar thalamocortical circuits. NSF Science of Learning Centers PI Meeting, Washington, DC, USA.

Versace, M., and Grossberg, S. (2006). From spikes to interareal synchrony: how attentive matching and resonance control learning and information processing by laminar thalamocortical circuits. Society for Neuroscience Abstract (SfN 2006), Atlanta, GA, USA.

Versace, M., and Grossberg, S. (2006). Learning and Cognitive Information Processing in ThalamocorticalAssemblies:Unifying Spikes, Synchronous Oscillations, and Resonance.International Conference on Cognitive and Neural Systems Abstract (ICCNS 2006), Boston, MA, USA.

Versace, M., and Grossberg, S. (2006). From Spikes to Objects: How Multiple Levels of Thalamic and Cortical Interactions Control Visual Learning, Attention and Recognition. Vision Science Society Abstract (VSS 2006), Sarasota, FL, USA.

Versace, M., Grossberg, S. (2005). Temporal binding and resonance in thalamocortical assemblies: learning and cognitive information processing in a spiking neuron model.Society for Neuroscience Abstract (SfN 2005), Washington, DC, USA.

Versace, M., Gorchetchnikov, A., and Grossberg, S.(2005). Applying the Methods of Experimental Data Visualization to Neuronal Simulations. International Conference on Cognitive and Neural Systems Abstract (ICCNS 2005), Boston, MA.

Bhatt, R., and Versace, M. (2004). Default ARTMAP with self-adjusting learning rate. International Conference on Cognitive and Neural Systems Abstract (ICCNS 2004), Boston, MA, USA.

Gorchetchnikov, A., and Versace, M.(2004). KInNeSS: A new software environment for simulations of neuronal activity. International Conference on Cognitive and Neural Systems Abstract (ICCNS 2004), Boston, MA, USA.

Oral presentations

Versace, M., Gorchetchnikov, A., A., Chandler, B., Kozma, R.T., Ames, H.M., and Mingolla, E. (2010). Brain-inspired computing. iSLC meeting, Boston, MA, USA.

Versace, M. (2010). Plastic synapses in a stable brain. Invited talk, Qualcomm, CA, USA.

Versace, M. (2009). Modeling the visual system with spiking neurons. Oral presentation, CN530, Department of Cognitive and Neural Systems, Boston, MA, USA.

Versace, M. (2007). Careers outside of academia: An introduction to industry. Oral presentation and meeting chairman, First Annual CELEST Career Day, Boston, MA, USA.

Versace, M., Ames, H., and Gorechetchnikov, A. (2006). Neural network applications in home automation. Invited talk, McPerson, Cordenons, Italy, August 22, 2006.

Versace, M., and Grossberg, S.(2006).Learning and cognitive information processing in thalamocortical assemblies: unifying spikes, synchronous oscillations, and resonance. Oral presentation, International Conference on Cognitive and Neural Systems Abstract (ICCNS 2006), Boston, MA, USA.

Versace, M.(2005).KInNeSS: A software environment for simulations of neuronal activity. Invited talk, Department of Psychology, University of Padova, Italy, 14 June 2005.

Versace, M. (2005). Learning, recognition, attention and resonance: from biology to applications. Invited talk, Accenture, Sophia Antipolis, France, 10 June 2005.

Versace, M.(2005).Learning, recognition, attention and resonance: from biology to applications. Invited talk, Accenture, Chicago, USA, 19 May 2005.

Versace, M., Bhatt, R., Hinds, O., and Shiffer, M. (2004). Optimizing Financial Applications through Biologically-inspired Methods. Oral presentation, International Conference on Financial Engineering and Application (FEA 2004), Cambridge, MA, USA.

Versace, M.(2001).A feedback neural network model for brightness perception: some preliminary results. Invited talk, Department of Psychology, University of Padova, Italy, 19 March 2001.

Online publications

Zorzi, M., and Versace, M. (2005). L’ Intelligenza Artificiale Adattiva nell’Ingegneria Finanziaria. Published on Italian the finance portal Finanzacomportamentale.it
(http://www.finanzacomportamentale.it/retineurali.html).

Press releases

AMD Stream Processor First to Break 1 Teraflop Barrier. (June 16, 2008).
(http://www.amd.com/us-en/Corporate/VirtualPressRoom/0,,51_104_543~126593,00.html).

Neurala Harnesses the Power of AMD’s Close to Metal Technology in Brain-Based Applications. (April 8, 2008).
(http://www.neurala.com/neurala_amd_press_release_4_8_2008.html).

First Annual CNS/CELEST Student/Postdoc Career Day (October 2007).
(http://cns-web.bu.edu/CELEST/events/events.html).

SATA HTS, “Nuova luce in montagna” (“There is a new light in the mountains”, referring to the development of solar panels in an area of Italy close to the Alpes. The solar panels use a machine learning technology to maximizing the power output of the panel), Udine Economia (Italian), October 2007
(http://www.sataenergy.com/stampa_07_11.php).

Corrieredelweb.it (2007) "Sata HI-TECH Services da Udine garantisce anche la Camera dei Deputati." (“Sata HI-TECH Services from Udine protects the house of representatives”, referring to the development of a software platform for data storage and encryption that uses neural network technology), March 21, 2007. (http://corrieredelweb.wordpress.com/2007/05/21/sicurezza-informatica-soluzioni-allavanguardia/).

From neuronal spikes to cognitive learning and performance: Unifying multiple levels of brain dynamics in
thalamocortical interactions (2006). NSF highlights. (http://cns-web.bu.edu/CELEST/events/highlights.html).

SATA HTS. (2006) "L'Intelligenza artificiale contro i furti ai bancomat", (“Artificial Intelligence against ATM thefts”, referring to the development of a software platform that tracks ATM usage with the goad of fraud prevention) Messaggero Veneto, December 15, 2006.

Editor

Psychology (http://www.scirp.org/journal/psych/)

Peer Reviewer for Publications

IEEE International Joint Conference on Neural Networks (IJCNN 2010)

IEEE International Symposium on Circuits and Systems (ISCAS)

IEEE Transactions on Neural Networks

Neural Networks

IEEE Transactions on Image Processing

Intelligent Systems in Accounting, Finance and Management

International Journal of Neural Systems

Spatial Vision, Special Issue on Vision Science and Art

Computer Methods and Programs in Biomedicine

Handbook of Applied Spatial Analysis (Springer, Edited by Manfred M. Fischer and Arthur Getis)

NSF-sponsored Inter Science of Learning Centers Workshop (iSLC 2008)

International Conference on Financial Engineering and Application (FEA 2004)

Invited Panelist

Reviewer for the Netherlands Foundation for Fundamental Research on Matter, FOM, for research projects in the area of Neural Networks and Memory (2009).

Reviewer for the Pennsylvania Department of Health on health related research projects in the area of Integrative Computational Modeling of the Primate Visual System (2008).

Panel discussion with leading neuroscientists and developer of Palm Pilot and Treo Smartphone, Jeff Hawkins, during Society for Neuroscience (SfN 2007), San Diego, CA.

Sponsored Research Activity

CELEST: A Center of Excellence for Learning in Education, Science, and Technology. NSF: #SBE-0354378, S. Grossberg, Principle Investigator. $24,430,006 10/1/2004 - 9/30/2010.

A MURI Center for Intelligent Biomimietic Image Processing and Classification. ONR: N00014-01-1-0624, S. Grossberg, Principal Investigator. $3,500,000 5/1/2001 - 8/31/2007.

A Unified Brain Architecture for Perception and Cognition with Applications to Information Processing Technology. AFOSR: F49620-01-1-0397, G. Carpenter and S. Grossberg, co Principal Investigators. $834,814 5/15/2001 – 6/30/2004.

SyNAPSE: Systems of Neuromorphic Adaptive Plastic Scalable Electronics. DARPA. G. Carpenter, Principle Investigator on sub-contract to Hewlett-Packard Company (D. Stewart, prime PI); S. Grossberg and E. Mingolla co-PIs. $5,425,010 10/1/2008 – 6/30/2015.

SyNAPSE: Systems of Neuromorphic Adaptive Plastic Scalable Electronics. DARPA. S. Grossberg, Principle Investigator on sub-contract to HRL Laboratories LLC (N. Srinivasa, prime PI); G. Carpenter and E. Mingolla co-PIs. $2,955,124 9/1/2008 – 11/30/2014.

Collaborators

Heather Ames, Department of Cognitive and Neural Systems, Boston University
Rushi Bhatt, Yahoo Inc., Bangalore, India
Gail Carpenter, Department of Cognitive and Neural Systems, Boston University
Alvise Casella, SATA HTS, Udine, Italy
Ben Chandler, Department of Cognitive and Neural Systems, Boston University
Bret Fortenberry, Department of Cognitive and Neural Systems, Boston University
Suchi Gopal, Department of Geography, Boston University
Anatoli Gorchetchnikov, Department of Cognitive and Neural Systems, Boston University
Stephen Grossberg, Department of Cognitive and Neural Systems, Boston University
Michael Hasselmo, Department of Psychology, Boston University
Oliver Hinds, Massachusetts Institute of Technology
Robert Thijs Kozma, Department of Cognitive and Neural Systems, Boston University
Jasmin Leveille, Department of Cognitive and Neural Systems, Boston University
Sean Lorenz, Department of Cognitive and Neural Systems, Boston University
Ennio Mingolla, Department of Cognitive and Neural Systems, Boston University
Jesse Palma, Department of Cognitive and Neural Systems, Boston University
Fabrizio Santini, Kiva Systems, Woburn, MA
Mark Shiffer, BAE Systems, Lexington, MA
Donald Wunch, Dept. of Electrical & Computer Engineering, Missouri University
Marco Zorzi, University of Padova, Italy