ModelDB: Spikes,synchrony,and attentive learning by laminar thalamocort. circuits (Grossberg & Versace 2007)

Spikes,synchrony,and attentive learning by laminar thalamocort. circuits (Grossberg & Versace 2007)

Accession: 112922

"... The model hereby clarifies, for the first time, how the following levels of brain organization coexist to realize cognitive processing properties that regulate fast learning and stable memory of brain representations: single cell properties, such as spiking dynamics, spike-timing-dependent plasticity (STDP), and acetylcholine modulation; detailed laminar thalamic and cortical circuit designs and their interactions; aggregate cell recordings, such as current-source densities and local field potentials; and single cell and large-scale inter-areal oscillations in the gamma and beta frequency domains. ..."
Reference: Grossberg S and Versace M (2008) Spikes, synchrony, and attentive learning by laminar thalamocortical circuits Brain Research

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Model Information (Click on a link to find other models with that property)

Model Type:	Network;
Brain Region(s)/Organism:
Cell Type(s):	Thalamic relay neuron; Thalamic reticular neuron; Neocortical pyramidal neuron: deep; Neocortical pyramidal neuron: superficial;
Channel(s):	I Na,t; I T low threshold; I K; I Potassium;
Gap Junctions:
Receptor(s):	AMPA; Gaba; Cholinergic Receptors;
Gene(s):
Transmitter(s):
Simulation Environment:	KInNeSS (web link to model); XML (web link to model);
Model Concept(s):	Pattern Recognition; Activity Patterns; Oscillations; Synchronization; Working memory; STDP;
Implementer(s):

Search NeuronDB for information about: Thalamic relay neuron; Thalamic reticular neuron; Neocortical pyramidal neuron: deep; Neocortical pyramidal neuron: superficial; AMPA; Gaba; Cholinergic Receptors; I Na,t; I T low threshold; I K; I Potassium;

Model files (located externally to ModelDB) Help downloading and running models

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Thalamic Cell Physiology Example

A demo by Max Versace showing the replication of thalamic cell behavior with KInNeSS. Read the description or download the NeuroML network file and other files including scripts Max used to plot the results with Matlab.

Some publications we've done using KInNeSS

2008

Versace M., Grossberg S. (2008). Spikes, synchrony, and attentive learning by laminar thalamocortical circuits. Brain Research, accepted with revisions.

Network description and input stimuli that are used for this paper.

2007	Berzhanskaya J., Gorchetchnikov A., Schiff S. J. (2007). Switching between gamma and theta: Dynamic network control using subthreshold electric fields. Neurocomputing 70(10--12), 2091-2095. Gorchetchnikov A., Grossberg S. (2007). Space, time, and learning in the hippocampus: How fine spatial and temporal scales are expanded into population codes for behavioral control. Neural Networks, 20, 182-193.
2005	Gorchetchnikov A., Versace M., Hasselmo M. E. (2005). A Model of STDP Based on Spatially and Temporally Local Information: Derivation and Combination with Gated Decay. Neural Networks, 18, 458-466. Gorchetchnikov A., Hasselmo M. E. (2005a). A simple rule for spike-timing-dependent plasticity: local influence of AHP current. Neurocomputing, 65-66, 885-890. Gorchetchnikov A., Hasselmo M. E. (2005b). A biophysical implementation of a bidirectional graph search algorithm to solve multiple goal navigation tasks. Connection Science, 17(1-2), 145-166. NeuroML network description that we have used for this paper. Versace, M., Grossberg, S. (2005).Temporal binding and resonance in thalamocortical assemblies: learning and cognitive information processing in a spiking neuron model. Soc Neurosci Abstr, 35: 538.8.
2004	Gorchetchnikov A., Hasselmo, M. E. (2004). A model of context-guided episodic retrieval during a spatial alternation task. Soc Neurosci Abstr, 34: 1007.7.
2003	Gorchetchnikov A., Hasselmo, M. E. (2003a). Rhythmic neuromodulation and spike timing dependent plasticity in the model of rat spatial navigation. Soc Neurosci Abstr, 33: 91.17. Gorchetchnikov, A., Hasselmo, M. E. (2003b). Timing of Consecutive Traveling Pulses in a Model of Entorhinal Cortex. In: Proceedings of the International Joint Conference on Neural Networks, CD-ROM, number 1299-640 in IEEE Catalog Number: 03CH37464C, pp. 1637-1642.
2002	Gorchetchnikov, A., Hasselmo, M. E. (2002a). A Model of Septal, Entorhinal and Hippocampal Interactions to Solve Multiple Goal Navigation Tasks. Soc Neurosci Abstr, 32:676.16. Gorchetchnikov, A., Hasselmo, M. E. (2002b). A Model of Hippocampal Circuitry Mediating Goal-Driven Navigation in a Familiar Environment. Neurocomputing, v.44-46, 424-427.

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