PUBLICATIONS

Y. Sun, R.l C. O’Reilly, R. Bhattacharyya, J. W. Smith, X. Liu, and H. Wang. "Latent structure in random sequences drives neural learning toward a rational bias." Proceedings of the National Academy of Sciences 112, no. 12 (2015): 3788-3792.

K.Y. Ni, J. Benvenuto, R. Bhattacharyya, and Rachel Millin. "Feature transformation of neural activity with sparse and low-rank decomposition."SPIE Medical Imaging, pp. 94172B-94172B. International Society for Optics and Photonics, 2015.

M.D. Howard, R. Bhattacharyya, S. E. Chelian, M. E. Phillips, P. K. Pilly, M. D. Ziegler, Y. Sun, and H. Wang. "The neural basis of decision-making during sensemaking: Implications for human-system interaction." Aerospace Conference, 2015 IEEE, pp. 1-16. IEEE, 2015.

N. D. Stepp, D. Plenz and N. Srinivasa, “Synaptic Plasticity Enables Adaptive Self-Tuning Critical Networks”, PLOS Computational Biology 11(1): e1004043. doi:10.1371/journal.pcbi.1004043.

N. Srinivasa, (2014). “Design considerations for a computational architecture of human cognition”, Emerging Nanoelectronic Devices, pp. 456-466, John Wiley and Sons, January 2015.

Chelian, Suhas E., Matthias D. Ziegler, Peter Pirolli, and Rajan Bhattacharyya. "Learning to Prognostically Forage in a Neural Network Model of the Interactions between Neuromodulators and Prefrontal Cortex", Procedia Computer Science 41 (2014): 32-39.

O'Brien, Michael J., Matthew S. Keegan, Tom Goldstein, Rachel Millin, James Benvenuto, Kendrick Kay, and Rajan Bhattacharyya. "Sparse atomic feature learning via gradient regularization: With applications to finding sparse representations of fMRI activity patterns", In Signal Processing in Medicine and Biology Symposium (SPMB), 2014 IEEE, pp. 1-6. IEEE, 2014.

Ascoli, Giorgio A., Matthew M. Botvinick, Richards J. Heuer, and Rajan Bhattacharyya", Neurocognitive models of sense-making." Biologically Inspired Cognitive Architectures 8 (2014): 82-89.

N. Srinivasa and Y. K. Cho, "Unsupervised Discrimination of Patterns in Spiking Neural Networks with Excitatory and Inhibitory Synaptic Plasticity", Frontiers in Computational Neuroscience, December 2014 | 8:159. doi: 10.3389/fncom.2014.00159.

S. E. Chelian, R. M. Uhlenbrock, S. Herd, & R. Bhattacharyya, “Application of a neural network model of prefrontal cortex to emulate human probability matching behavior, Biologically Inspired Cognitive Architectures, 10, 10-16. doi:10.1016/j.bica.2014.11.002

M. E. Phillips, S. E. Chelian, P. Pirolli, & R. Bhattacharyya, “Forensic foraging of change detection in opponent strategies with a neural model of the interactions between temporal and prefrontal cortex”, Biologically Inspired Cognitive Architectures, 10, 17-23. doi:10.1016/j.bica.2014.11.003

M. D. Ziegler, S. E. Chelian, J. Benvenuto, J. Krichmar, R. O’Reilly, & R. Bhattacharyya, “A model of proactive and reactive cognitive control with anterior cingulate cortex and the neuromodulatory system”, Biologically Inspired Cognitive Architectures, 10, 61-67. doi:10.1016/j.bica.2014.11.008

M. J. O'Brien, C. M. Thibeault and N. Srinivasa, "A Novel Analytical Characterization for Short-Term Plasticity Parameters in Spiking Neural Networks", Frontiers in Computational Neuroscience, November 2014. | doi: 10.3389/fncom.2014.00148.

C. M. Thibeault, "A role for neuromorphic processors in therapeutic nervous system stimulation", Frontiers in Systems Neuroscience, doi: 10.3389/fnsys.2014.00187, October 2014.

Pilly, P.K. and Grossberg, S. (2014). "How does the modular organization of entorhinal grid cells develop?", Frontiers in Human Neuroscience, 8, 337.

V. DeSapio and N. Srinivasa, "A Method for Controlling Motion and Constraint Forces in Holonomically Constrained Systems", Journal of Multibody Systems, doi:10.1007/s11044-014-9417-8, April 2014.

Corey M. Thibeault, Frederick C. Harris, Jr., Narayan Srinivasa (2014) "A Virtual Environment Framework for Embedding Neural Models", Proceedings of The 2014 International Conference on Computers and Their Applications (CATA 2014), March 24-26, 2014, Las Vegas, NV.

C. M. Thibeault, M. J. O'Brien and N. Srinivasa, "Analyzing large-scale spiking neural data with HRLAnalysis™," Frontiers in Neuroinformatics. 8:17. doi: 10.3389/fninf.2014.00017 -2014.

C. M. Thibeault, F. C. Harris Jr., and N. Srinivasa, "Using Games to Embody Spiking Neural Networks for Neuromorphic Hardware", International Journal of Computers and their Applications, vol. 21, no. 1, pp. 40-53, March 2014.

N. Srinivasa, D. Zhang and B. Grigorian, "A Robust and Scalable Neuromorphic Communication System by Combining Synaptic Time-Multiplexing and MIMO-OFDM", IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 3, pp. 585-608, March, 2014.

K. Minkovich, C. M. Thibeault, M. J. O'Brien, A. Nogin, Y. K. Cho, N. Srinivasa, "HRLSim: A High Performance Spiking Neural Network Simulator for GPGPU Clusters", IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 2, pp. 316-331, February, 2014.

Pilly, P.K. and Grossberg, S. (2013). "How reduction of theta rhythm by medial septum inactivation may covary with disruption of entorhinal grid cell responses due to reduced cholinergic transmission", Frontiers in Neural Circuits, 7, 173.

C. Thibeault, F. C. Harris Jr., and N. Srinivasa, “Embodied Modeling with Spiking Neural Networks for Neuromorphic Hardware: A Simulation Study," Proc. of 26th International Conference on Computer Applications in Industry and Engineering (CAINE), pp. 3-10, Los Angeles, CA, September 2013.

M. Howard, A. Lester, J. M. Fellous and R. Bhattacharyya, "A computational model of Perirhinal Cortex: Gating and repair of input to the Hippocampus", Proc. of IJCNN, Dallas, Texas, pp. 1377-1385, August 4-9, 2013.

S. E. Chelian and N. Srinivasa, “A Spiking Thalamus Model for Form and Motion Processing of Images”, Proc. of the IJCNN, Dallas, TX, pp. 590-595, August 2013.

C. M. Thibeault and N. Srinivasa, "Using a hybrid neuron in physiologically inspired models of the basal ganglia", Front. Comput. Neurosci. 7:88. doi: 10.3389/fncom.2013.00088, July 2013.

K. Dockendorf and N. Srinivasa, "Learning and prospective recall of noisy spike pattern episodes", Front. Comput. Neurosci. 7:80. doi: 10.3389/fncom.2013.00080, June 2013.

J. Cruz-Albrecht, T. Derosier and N. Srinivasa, “Scalable neural chip with synaptic electronics using CMOS integrated memristors”, Nanotechnology, Special Issue on Synaptic Electronics, vol. 24, (2013) 384011 (11pp), doi:10.1088/0957-4484/24/38/384011.

C. M. Thibeault, K. Minkovich, M. J. O'Brien, F. C. Harris Jr. and N. Srinivasa, "Efficiently passing messages in distributed spiking neural network simulation", Front. Comput. Neurosci. 7:77. doi: 10.3389/fncom.2013.00077, June 2013.

M. E. Phillips, M. C. Avery, J. L. Krichmar, & R. Bhattacharyya, "Top-down executive control drives reticular-thalamic inhibition and relays cortical information in a large-scale neurocognitive model", in The Florida Artificial Intelligence Research Society (FLAIRS26)’, AAAI, AAAI, St. Pete Beach, Florida, May 2013.

P. Greene, M. Howard, R. Bhattacharyya and J.M. Fellous, "Hippocampal Anatomy Supports the Use of Context in Object Recognition: A Computational Model", Comput. Intell. and Neurosci, Article ID 294878, doi: 10.1155/2013/294878.

N. Srinivasa and Q. Jiang, "Stable learning of functional maps in self-organizing spiking neural networks with continuous synaptic plasticity", Front. Comput. Neurosci., 7:10. doi: 10.3389/fncom.2013.00010, February 2013.

Michael D. Howard, Rashmi N. Sundareswara, Michael J. Daily, Rajan Bhattacharyya, Sam Kaplan, Nathan Munkhenk, Craig Lee, Howard Neely. "Using Tactile Displays to Maintain Situational Awareness during Driving", in Proc. 2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), San Diego, CA, Feb. 26-28, 2013.

M. J. O'Brien and N. Srinivasa, "A Spiking Neural Model for Stable Reinforcement of Synapses Based on Multiple Distal Rewards", Neural Computation, vol 25, no. 1, pp. 123-156, 2013.

Chelian, S.E., Oros, N., Zaldivar, A., Krichmar, J., and Bhattacharyya, R., "Model of the interactions between neuromodulators and prefrontal cortex during a resource allocation task", In Proceedings of the IEEE International Conference on Development and Learning and Epigenetic Robotics (IEEE ICDL-EpiRob 2012), San Diego, USA, November, 2012.

N. Srinivasa, R. Bhattacharyya, R. Sundareswara, C. Lee and S. Grossberg, "A bio-inspired kinematic controller for obstacle avoidance during reaching tasks with real robots", Neural Networks, vol. 35, pp. 54-69, 2012.

N. Srinivasa and S. E. Chelian, “Executive Control of Cognitive Agents Using a Biologically Inspired Model Architecture of the Prefrontal Cortex”, Biologically Inspired Cognitive Architectures, pp. 13-24, 2012.

N. Srinivasa and Y. K. Cho, “A Self-Organizing Spiking Neural Model for Learning Fault-Tolerant Spatio-Motor Transformations”, IEEE Transactions on Neural Networks and Learning Systems, vol. 23, no. 10, pp. 1526-1538, 2012.

N. D. Stepp and N. Srinivasa, "A Formal Model for Autocatakinetic Systems", Ecological Psychology, vol. 24, no. 3, pp. 204-219, 2012.

K. Minkovich, N. Srinivasa, J. M. Cruz-Albrecht, Y. K. Cho and A. Nogin, "Programming Time-Multiplexed Reconfigurable Hardware Using a Scalable Neuromorphic Compiler," IEEE Trans. on Neural Networks and Learning Systems, vol. 23, no. 6, pp. 889-901, June 2012.

Jose Cruz-Albrecht, Michael Yung, Narayan Srinivasa, “Energy-Efficient, Neuron, Synapse and STDP Integrated Circuits,“ IEEE Transactions on Biomedical Circuits and Systems, vol. 6. No. 3, pp. 246-256, June, 2012.

Kuk-Hwan Kim, Siddharth Gaba, Dana Wheeler, Jose Cruz‐Albrecht, Tahir Hussain, Narayan Srinivasa and Wei Lu, "A Functional Hybrid Memristor Crossbar-Array/CMOS System for Data Storage and Neuromorphic Applications," Nano Letters, vol.12, no. 1, pp. 389–395, February/March 2012.

N. Srinivasa and Jose Cruz-Albrecht, “Neuromorphic Adaptive Plastic Scalable Electronics,IEEE Pulse, vol. 3, no. 1, pp. 51-56, January/February, 2012.

D. Wheeler, K. K. Kim, S. Gaba, E. Wang. S. Kim, I. Valles, J. Li, Y. Royter, J. M. Cruz-Albrecht, T. Hussain, W. Lu and N. Srinivasa, "CMOS-Integrated Memristors for Neuromorphic Architectures," ISDRS, December 7-9, 2011, College Park, MD, USA.

O'Reilly, Bhattacharyya, Howard, Ketz, "Complementary Learning Systems,", Cognitive Science (2011) 1-20. 5 Dec. 2011.

Hoffmann, H.; Howard, M.D.; Daily, M.J.;  "Fast pattern matching with time-delay neural networks," Neural Networks (IJCNN), The 2011 International Joint Conference on , 2011, pp.2424-2429 

M.D Howard, R. Bhattacharyya, R.C. O’Reilly, G. Ascoli, and J.M Fellous. "Adaptive recall in the hippocampus," In Kamilla R. Johannsdottir Alexei V. Samsonovich, editor, Biologically Inspired Cognitive Architectures 2011 - Proceedings of the Second Annual Meeting of the BICA Society, volume 233 of Frontiers in Artificial Intelligence and Applications, pages 151–157. 2011. DOI: 10.3233/978-1-60750-959-2-151.

S.E. Chelian, R. Bhattacharyya, and R.C. O’Reilly. Learning categories with invariances in a neural network model of prefrontal cortex. In Kamilla R. Johannsdottir Alexei V. Samsonovich, editor, Biologically Inspired Cognitive Architectures 2011 - Proceedingsof the Second Annual Meeting of the BICA Society, volume 233 of Frontiers in Artificial Intelligence and Applications, pages 50–55. 2011. 

Howard, Daily, Payton, Chen, Sundareswara, "Further Explorations of a Minimal Polychronous Memory”, In Proceedings of IC-AI. 2010, 325-330.

Narayan Srinivasa, Stephen Grossberg, “A head-neck-eye system that learns fault-tolerant saccades to 3-D targets using a self-organizing neural model,” Neural Networks, vol. 21, no. 9, November 2008.

Narayan Srinivasa, Rajan Bhattacharyya, Stephen Grossberg, “A Bio-Inspired Kinematic Controller for Obstacle Avoidance during Reaching Tasks with Redundant Robots,” Proceedings of the 2nd Biannual IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, Scottsdale, AZ, USA, October 19-22, 2008.

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