Model for a robust neural integrator

By A. Koulakov, Sridhar Raghavachari, Adam Kepecs, John E. Lisman. Nature Neuroscience, 2002

322 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/69c61bed0b198931a9aff3a9dca2ef55e4ff35e1

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

In Electrical and Electronic Engineering

Citations in the corpus

NMDA Receptor Hypofunction Produces Opposite Effects on Prefrontal Cortex Interneurons and Pyramidal Neurons (2007, background): “excitatory reverberation and various network models that incorporate NMDA receptors in maintaining integrator circuits or temporal accumulation of spike activity that correlate with behavioral events (Koulakov et al., 2002; Wong and Wange, 2006).”
Memory without Feedback in a Neural Network (2009, background): “…not a feature of the networks being modeled, then adding bistable or digital processes to the neurons (Camperi and Wang, 1998; Goldman et al., 2003; Koulakov et al., 2002) could provide robustness by preventing small increases or decreases in synaptic weights from causing a cascading increase or…”
Attractor and integrator networks in the brain (2021, background): “[60] Alexei A Koulakov, Sridhar Raghavachari, Adam Kepecs, and John E Lisman.”
A role for neural integrators in perceptual decision making. (2003, background): “The biophysical and circuit properties underlying operations such as integration are an active topic of investigation at the theoretical and experimental level (Camperi and Wang, 1997, 1998; Seung et al., 2000; Aksay et al., 2001; Koulakov et al., 2002).”
A model of interval timing by neural integration (2011, methodology): “We propose one such mechanism in the supplemental material (available at www.jneurosci.org) based on computing temporal derivatives in a neurally plausible way, but other approaches also exist (e.g., Koulakov et al., 2002; Goldman et al., 2003; Goldman, 2009).”
Gating information by two-state membrane potential fluctuations. (2007, background): “Another class of models exploited the voltage dependency of NMDAR receptors in recurrent networks for short-term memory storage (Koulakov et al. 2002; Lisman et al. 1998).”
The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks. (2006, background): “Neural integration mechanisms have been studied extensively in the context of control of motor processes (e.g., Cannon et al., 1983; Seung, 1996; Seung et al., 2000; Aksay et al., 2001; Koulakov et al., 2002; Goldman et al., 2003; Major et al., 2004).”
Neuronal circuits underlying persistent representations despite time varying activity. (2012, background): “Out of a variety of different network mechanisms suggested to account for working memory [19, 27, 49, 52–60], FEVER networks are most closely related to the linear outer product line attractor network [19] conceived as a model for representing eye position in the goldfish occulomotor system [61, 62]”
Persistent Activity in Neural Networks with Dynamic Synapses (2007, background): “The sustained persistent activity is believed to be achieved by excitatory interpyramidal connections that are either prewired or formed during the learning of the task [3] (see also [6,7] for a possible role of single-cell mechanisms).”
An oscillatory mechanism for multi-level storage in short-term memory (2021, unknown): “Previous work has suggested how multiple, spatially distinct bistable processes in a cell can be coupled together to form multiple stable levels of ﬁ ring activity 45,46 .”