Lab Publications
Evaluating Hebbian reinforcement learning BMI using an in silico brain model and a virtual musculoskeletal arm..
Neural Control of Movement.
(2014). Multimodal integration of micro-Doppler sonar and auditory signals for behavior classification with convolutional networks.
International Journal of Neural Systems. 23, 1350021.
(2013). Normalized cortical depth (NCD) as a primary coordinate system for cell connectivity in cortex: experiment and model.
Society for Neuroscience 2015 (SFN '15).
(2015). Effect of network size on computational capacity.
Computational Neuroscience Meeting (CNS 16').
(2016). Restoring behavior via inverse neurocontroller in a lesioned cortical spiking model driving a virtual arm.
Front Neurosci. 10, 28.
(2016). Response to simultaneous long-range inputs and oscillatory inputs in a multiscale model of M1 microcircuits.
Society for Neuroscience 2019 (SFN '19).
(2019).
(2018). NetPyNE: a Python package for NEURON to facilitate development and parallel simulation of biological neuronal networks.
Computational Neuroscience.
(2016). NetPyNE: a Python package for NEURON to facilitate development and parallel simulation of biological neuronal networks.
Computational Neuroscience Meeting (CNS 16').
(2016).
(2018). Data-driven model of auditory thalamocortical system rhythms.
Society for Neuroscience (SFN '19).
(2019). Cortical spiking network interfaced with virtual musculoskeletal arm and robotic arm.
Frontiers in Neurorobotics. 9,
(2015). Modulation of virtual arm trajectories via microstimulation in a spiking model of sensorimotor cortex.
BMC Neuroscience. 15, P106.
(2014). NetPyNE: A GUI-based tool to build, simulate and analyze large-scale, data-driven network models in parallel NEURON.
Society for Neuroscience 2018 (SFN '18).
(2018). Cross-frequency coupling and information flow in a multiscale model of M1 microcircuits.
Society for Neuroscience (SFN'19).
(2019). 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.
(2015).
(2011). Modulation of virtual arm trajectories via microstimulation in a spiking model of sensorimotor cortex.
Computational Neuroscience Meeting (CNS '14). 15, P106.
(2014). Towards a real-time interface between a biomimetic model of sensorimotor cortex and a robotic arm.
Pattern Recognit Lett. 36, 204–212.
(2014). 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.
(2013). Simulation of avalanches in mouse primary motor cortex (M1).
Computational Neuroscience Meeting (CNS 18').
(2018). Computer models of mouse area M1 show avalanches for full model and subcircuits defined by layer or cell type.
Society for Neuroscience 2019 (SFN '19).
(2019). Identifying avalanches in simulated mouse primary motor cortex (M1).
Society for Neuroscience 2018 (SFN '18).
(2018). Inhibition Can Disrupt Hypersynchrony In Model Neuronal Networks.
Progress in neuro-psychopharmacology & biological psychiatry.
(1997). 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1.
BMC Neuroscience. 18, 58.
(2017). Alternating dominance of NMDA and AMPA for learning and recall: a computer model.
Neuroreport. 12, 2503-2507.
(2001). Spiking network modeling of neuronal dynamics in individual rats.
BMC Neuroscience.
(2015). Motor cortex microcircuit simulation based on brain activity mapping.
Neural Comput. 26, 1239–1262.
(2014). Reinforcement Learning of Targeted Movement in a Spiking Neuronal Model of Motor Cortex.
PLoS One. 7, e47251.
(2012). Dopamine-based reinforcement learning of virtual arm reaching task in a spiking model of motor cortex.
Society for Neuroscience.
(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.
(2012). Geppetto: a reusable modular open platform for exploring neuroscience data and models.
Phil. Trans. R. Soc. B. 373, 20170380.
(2018). Geppetto: an open source visualisation and simulation platform for neuroscience.
Computational Neuroscience Meeting (CNS 17').
(2017). Integrating Systems Biology Markup Language (SBML) with NEURON.
Computational Neuroscience.
(2014). Integrating Systems Biology Markup Language (SBML) with NEURON.
Society for Neuroscience 2014 (SFN '14).
(2014).
(1999). Computer model of passive signal integration based on whole-cell ınvit\ studies of rat lateral geniculate nucleus.
European Journal of Neuroscience. 17, 1531-1541.
(2003). Independent dendritic domains in the thalamic circuit.
Neurocomputing. 32, 299–305.
(2000). Understanding epilepsy across spatial and time scales.
Society for Neuroscience 2018 (SFN '18).
(2018). Embedded ensemble encoding hypothesis: The role of the ``Prepared'' cell.
J. Neurosci. Res..
(2018). Amyloid pathology–produced unexpected modifications of calcium homeostasis in hippocampal subicular dendrites.
Alzheimers. Dement..
(2019). Cortical ensembles based on dendritic plateau generation in the prefrontal cortex.
Society for Neuroscience 2017 (SFN '17).
(2017).