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Eric M. Trautmann et al.
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M. F. Bolus et al.
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Yuxiao Yang et al.
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Zihui Zhang et al.
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Shriya S. Srinivasan et al.
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James J. Jun et al.
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Weijian Yang et al.
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Charles-Francois V. Latchoumane et al.
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Gabor Kozak et al.
SCIENTIFIC REPORTS (2017)
Hard real-time closed-loop electrophysiology with the Real-Time eXperiment Interface (RTXI)
Yogi A. Patel et al.
PLOS COMPUTATIONAL BIOLOGY (2017)
Robust Brain-Machine Interface Design Using Optimal Feedback Control Modeling and Adaptive Point Process Filtering
Maryam M. Shanechi et al.
PLOS COMPUTATIONAL BIOLOGY (2016)
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Michael Okun et al.
PLOS ONE (2016)
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Daniel C. Millard et al.
JOURNAL OF NEUROSCIENCE (2015)
Monolithically Integrated μLEDs on Silicon Neural Probes for High-Resolution Optogenetic Studies in Behaving Animals
Fan Wu et al.
NEURON (2015)
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Logan Grosenick et al.
NEURON (2015)
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Ming-fai Fong et al.
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Joseph M. Stujenske et al.
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Jonathan P. Newman et al.
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Daniel Ehrens et al.
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Stochastic optimal control of single neuron spike trains
Alexandre Iolov et al.
JOURNAL OF NEURAL ENGINEERING (2014)
Closed-loop optogenetic control of thalamus as a tool for interrupting seizures after cortical injury
Jeanne T. Paz et al.
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Reading and writing the neural code
Garrett B. Stanley
NATURE NEUROSCIENCE (2013)
Neural coding during active somatosensation revealed using illusory touch
Daniel H. O'Connor et al.
NATURE NEUROSCIENCE (2013)
GENSAT BAG Cre-Recombinase Driver Lines to Study the Functional Organization of Cerebral Cortical and Basal Ganglia Circuits
Charles R. Gerfen et al.
NEURON (2013)
Control strategies for underactuated neural ensembles driven by optogenetic stimulation
ShiNung Ching et al.
FRONTIERS IN NEURAL CIRCUITS (2013)
On-demand optogenetic control of spontaneous seizures in temporal lobe epilepsy
Esther Krook-Magnuson et al.
NATURE COMMUNICATIONS (2013)
Inferring Nonlinear Neuronal Computation Based on Physiologically Plausible Inputs
James M. McFarland et al.
PLOS COMPUTATIONAL BIOLOGY (2013)
Correlated input reveals coexisting coding schemes in a sensory cortex
Luc Estebanez et al.
NATURE NEUROSCIENCE (2012)
The Development and Application of Optogenetics
Lief Fenno et al.
ANNUAL REVIEW OF NEUROSCIENCE, VOL 34 (2011)
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Sabato Santaniello et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2011)
Model-based analysis and control of a network of basal ganglia spiking neurons in the normal and Parkinsonian states
Jianbo Liu et al.
JOURNAL OF NEURAL ENGINEERING (2011)
Designing optimal stimuli to control neuronal spike timing
Yashar Ahmadian et al.
JOURNAL OF NEUROPHYSIOLOGY (2011)
Receptive Field Inference with Localized Priors
Mijung Park et al.
PLOS COMPUTATIONAL BIOLOGY (2011)
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Liam Paninski et al.
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Thalamic synchrony and the adaptive gating of information flow to cortex
Qi Wang et al.
NATURE NEUROSCIENCE (2010)
Towards model-based control of Parkinson's disease
Steven J. Schiff
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2010)
Tracking and control of neuronal Hodgkin-Huxley dynamics
Ghanim Ullah et al.
PHYSICAL REVIEW E (2009)
Measurement of variability dynamics in cortical spike trains
Martin P. Nawrot et al.
JOURNAL OF NEUROSCIENCE METHODS (2008)
Spatio-temporal correlations and visual signalling in a complete neuronal population
Jonathan W. Pillow et al.
NATURE (2008)
Spike-triggered neural characterization
Odelia Schwartz et al.
JOURNAL OF VISION (2006)
Dynamic analysis of neural encoding by point process adaptive filtering
UT Eden et al.
NEURAL COMPUTATION (2004)
Estimating a state-space model from point process observations
AC Smith et al.
NEURAL COMPUTATION (2003)
A simple white noise analysis of neuronal light responses
EJ Chichilnisky
NETWORK-COMPUTATION IN NEURAL SYSTEMS (2001)
Tutorial overview of model predictive control
JB Rawlings
IEEE CONTROL SYSTEMS MAGAZINE (2000)