Simulations of cortical pyramidal neurons synchronized by inhibitory interneurons.
- W. Lytton, T. Sejnowski
- BiologyJournal of Neurophysiology
- 1 September 1991
The interaction between inhibitory interneurons and cortical pyramidal neurons was studied by use of computer simulations to test whether inhibitoryinters could assist in phase-locking postsynaptic cells and frequency entrainment was examined.
Parallel network simulations with NEURON
- M. Migliore, C. Cannia, W. Lytton, H. Markram, M. Hines
- Computer ScienceJournal of Computational Neuroscience
- 26 May 2006
The NEURON simulation environment has been extended to support parallel network simulations and the performance of three published network models with very different spike patterns exhibits superlinear speedup on Beowulf clusters and demonstrates that spike communication overhead is often less than the benefit of an increased fraction of the entire problem fitting into high speed cache.
Burst firing in identified rat geniculate interneurons
- J. Zhu, D. Uhlrich, W. Lytton
- BiologyNeuroscience
- 1 July 1999
Ketamine Disrupts Theta Modulation of Gamma in a Computer Model of Hippocampus
- S. Neymotin, M. Lazarewicz, M. Sherif, D. Contreras, L. Finkel, W. Lytton
- BiologyJournal of Neuroscience
- 10 August 2011
Theta-modulated gamma oscillations in a computer model of hippocampal CA3 in vivo with and without simulated application of ketamine, an NMDA receptor antagonist and psychotomimetic are studied to suggest a possible novel treatment for cognitive deficits of schizophrenia by targeting OLM cells.
Attention-Like Modulation of Hippocampus Place Cell Discharge
- A. Fenton, W. Lytton, A. Olypher
- Psychology, BiologyJournal of Neuroscience
- 31 March 2010
The hippocampus place code is concluded to be a dynamic representation of the spatial information in the immediate focus of attention, implying that a covert, dynamic attention-like process modulates discharge on a ∼1 s time scale.
Unmasking the CA1 Ensemble Place Code by Exposures to Small and Large Environments: More Place Cells and Multiple, Irregularly Arranged, and Expanded Place Fields in the Larger Space
- A. Fenton, Hsin-Yi Kao, N. Ludvig
- BiologyJournal of Neuroscience
- 29 October 2008
The results indicate that multiple place fields is a fundamental feature of CA1 place cell activity and that, consequently, an ensemble place code is required for CA1 discharge to accurately signal location.
Emergence of Physiological Oscillation Frequencies in a Computer Model of Neocortex
- S. Neymotin, Heekyung Lee, E. Park, A. Fenton, W. Lytton
- BiologyFrontiers in Computational Neuroscience
- 19 April 2011
It is found that hubs in layer 2/3 excitatory cells had the greatest influence on overall network activity, suggesting that this subpopulation was a primary generator of theta/beta strength in the network.
Optimizing Synaptic Conductance Calculation for Network Simulations
- W. Lytton
- Biology, Computer ScienceNeural Computation
- 1 April 1996
A consolidating algorithm based on a recent biophysically-inspired simplified Markov model of the synapse using a single lumped state variable to represent a large number of converging synaptic inputs results in substantial speed-ups.
Computer modelling of epilepsy
- W. Lytton
- PsychologyNature Reviews Neuroscience
- 1 August 2008
Over the past few years, substantial progress has been made in modelling epilepsy at levels ranging from the molecular to the socioeconomic, and these efforts are connected to the medical goals of understanding and treating the disorder.
NetPyNE: a tool for data-driven multiscale modeling of brain circuits
- S. Dura-Bernal, Benjamin A. Suter, W. Lytton
- Computer Science, BiologybioRxiv
- 3 November 2018
The NetPyNE tool provides both programmatic and graphical interfaces to develop data-driven multiscale network models in NEURON, and facilitates model sharing by exporting and importing using NeuroML and SONATA standardized formats.
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