Lab Publications | Neurosim lab

Found 32 results

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A

Neymotin, S. A., Lee H., Park E., Fenton A. A., & Lytton W. W. (2010). Altered information transfer in neuronal networks marks pathology. Computational Neuroscience Meeting (CNS 10').

Neymotin, S. A., Kerr C., Francis J. T., & Lytton WW. (2011). Attentional modulation of receptive fields in a computer model of the thalamocortical system. Society for Neuroscience 2011 (SFN '11).

C

Lazarewicz, M. T., Contreras D., Finkel L. H., & Lytton WW. (2009). Computer model of a theta-gamma dissociation in hippocampus. Society for Neuroscience 2009 (SFN '09).

Francis, J. T., Chapin J., Lytton WW., Barbour R., Carmena J., Principe J., et al. (2010). Creating the synthetic brain through hybrid computational and biological systems repairing and replacing neural networks. Society for Neuroscience 2010 (SFN '10).

Francis, J. T., Chapin J., Lytton WW., Barbour R., Carmena J., Principe J., et al. (2010). Creating the synthetic brain through hybrid computational and biological systems repairing and replacing neural networks. Society for Neuroscience 2010 (SFN '10).

D

Kerr, CC., Fietkiewicz CT., Chadderdon GL., Neymotin SA., & Lytton WW. (2010). Development of In Silico Brain for DARPA REPAIR project. DARPA Neural Engineering, Science, and Technology Meeting.

Fenton, A. A., Lee H., & Lytton WW. (2009). Disinhibition can account for the neural discoordination associated with impaired cognitive control. Society for Neuroscience 2009 (SFN '09).

Chadderdon, GL., Neymotin SA., Kerr CC., Francis JT., & Lytton WW. (2012). Dopamine-based reinforcement learning of virtual arm reaching task in a spiking model of motor cortex. International Conference on Cognititve and Neural Systems 16.

Chadderdon, GL., Neymotin SA., Kerr CC., Francis JT., & Lytton WW. (2012). Dopamine-based reinforcement learning of virtual arm reaching task in a spiking model of motor cortex. Society for Neuroscience.

Dura-Bernal, S., Majumdar A., Neymotin S., Sivagnanam S., Francis J. T., & Lytton WW. (2015). A dynamic data-driven approach to closed-loop neuroprosthetics based on multiscale biomimetic brain models. IEEE Interanationl Conference on High Performance Computing 2015 Workshop: InfoSymbiotics/Dynamic Data Driven Applications Systems (DDDAS) for Smarter Systems, Bangalore, India.

E

Dura-Bernal, S., Prins N., Neymotin S., Prasad A., Sanchez J., Francis JT., et al. (2014). Evaluating Hebbian reinforcement learning BMI using an in silico brain model and a virtual musculoskeletal arm.. Neural Control of Movement.

G

Kubie, J. L., Fenton A. A., Lytton WW., & Burgess N. (2009). Grid-cell models for navigation and context discrimination. Society for Neuroscience 2009 (SFN '09).

I

Olypher, A. V., Fenton A. A., Lytton W. W., & Prinz A. A. (2009). Information processing in homeostatically regulated hippocampal neurons. Society for Neuroscience 2009 (SFN '09).

L

Dura-Bernal, S., Kerr C., Neymotin S., Suter B., Shepherd G., Francis J., et al. (2015). Large-scale M1 microcircuit model with plastic input connections from biological PMd neurons used for prosthetic arm control. 24th Annual Computational Neuroscience Meeting (CNS15).

M

Kerr, CC., Neymotin SA., Song W., Francis JT., & Lytton WW. (2011). Modulation of stimulus fields in a computer model of the thalamocortical system. Society for Neuroscience.

Dura-Bernal, S., Li K., Brockmeier A., Kerr C., Neymotin S., Principe J., et al. (2014). Modulation of virtual arm trajectories via microstimulation in a spiking model of sensorimotor cortex. Computational Neuroscience Meeting (CNS '14). 15, P106.

N

Kerr, C. C., O'Shea D. J., Goo W., Dura-Bernal S., Francis J. T., Diester I., et al. (2014). Network-level effects of optogenetic stimulation in a computer model of macaque primary motor cortex. Computational Neuroscience Meeting (CNS 14').

Park, E.., Neymotin S.., Lytton W.., & Fenton A.. A. (2009). Neural discoordination of hippocampus and prefrontal cortex spike trains in a phencyclidine schizophrenia-related animal model. Society for Neuroscience 2009 (SFN '09).

Seidenstein, A., Neymotin S. A., Fesharaki A., Hines M. L., Mcdougal R. A., Bulanova A. S., et al. (2015). Neuronal network bump attractors augmented by calcium up-regulation of Ih in a multiscale computer model of prefrontal cortex. Society for Neuroscience 2015 (SFN '15).

O

Kerr, C., Choi J. S., Dura-Bernal S., Francis J. T., & Lytton WW. (2014). One size does not fit all: Calibrating microstimulation to individual subjects using spiking network models. Society for Neuroscience 2014 (SFN '14).

R

Kerr, C., Von Kraus L., Iordanou J., Neymotin S. A., Francis J., & Lytton WW. (2013). Receptive field formation and erasure in somatosensory cortex. Society for Neuroscience 2013 (SFN '13).

Neymotin, S. A., Fenton A. A., & Lytton WW. (2010). Recurrence of correlation structure in hippocampal neuronal ensembles during spatial behavior. Society for Neuroscience 2010 (SFN '10).

Neymotin, S. A., Chadderdon G. L., Kerr C. C., Francis J. T., & Lytton WW. (2012). Reinforcement learning of 2-joint virtual arm reaching in computer model of sensory and motor cortex. Society for Neuroscience 2012 (SFN '12).

Lytton, WW., Kerr CC., Chadderdon GL., Neymotin SA., & Francis JT. (2012). Reinforcement learning of 2-joint virtual arm reaching in detailed cortex simulation. Neural Control of Movement.

Neymotin, S. A., Chadderdon G. L., Kerr C. C., Francis J. T., & Lytton W. W. (2012). Reinforcement learning of 2-joint virtual arm reaching in motor cortex simulation. Computational Neuroscience Meeting (CNS '12).

Li, K., Dura-Bernal S., Francis J., Lytton WW., & Principe J. (2015). Repairing Lesions via Kernel Adaptive Inverse Control in a Biomimetic Model of Sensorimotor Cortex. Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference. 1-4.

Dura-Bernal, S., Li K., Brockmeier A., Kerr CC., Neymotin S., Principe J., et al. (2014). Repairing lesions via microstimulation in a spiking network model driving a virtual arm.. Society for Neuroscience.

Neymotin, SA., Kerr CC., Chadderdon GL., Francis JT., & Lytton WW. (2011). Restoring physiological oscillations using neuroprosthetic spike-timing-dependent plasticity in computer model of neocortex. Society for Neuroscience.

S

Neymotin, SA., Kerr CC., Fietkiewicz CT., Chadderdon GL., & Lytton WW. (2011). Spike-timing-dependent plasticity and subcortical waves enhance alpha oscillations in a computer model of neocortex. Neuroinformatics.

Choi, J. S., Menzies R. J., Dura-Bernal S., Francis J. T., Lytton WW., & Kerr C. C. (2015). Spiking network modeling of neuronal dynamics in individual rats. BMC Neuroscience.

T

Neymotin, S., Kerr CC., Francis JT., & Lytton WW. (2011). Training oscillatory dynamics with spike-timing-dependent plasticity in a computer model of neocortex. 2011 IEEE Signal Processing in Medicine and Biology Symposium (SPMB). 1–6.

V

Dura-Bernal, S., Chadderdon G.L.., Neymotin S., Zhou X., Przekwas A.., Francis J.T.., et al. (2013). Virtual musculoskeletal arm and robotic arm driven by a biomimetic model of sensorimotor cortex with reinforcement learning. Signal Processing in Medicine and Biology Symposium (SPMB), 2013 IEEE. 1-5.