Neurocomputational models of working memory

By Daniel Durstewitz, Jeremy K. Seamans, Terrence J. Sejnowski. Nature Neuroscience, 2000

771 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/b861991af2f357a7b136fd0b222368d66c41ba94

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In Cellular and Molecular Neuroscience

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Citations in the corpus

Neuromodulation of Reactive Sensorimotor Mappings as a Short-Term Memory Mechanism in Delayed Response Tasks (2002, background): “Firstly, as Durstewitz et al. (2000) point out, “different cellular and network mechanisms...are not mutually exclusive.” This means, even if much is known about the role of persistent neural activity in STM, this does not in any way rule out a possible role for synaptic plasticity as at least a com”
A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selection (2020, background): “Such persistent representations have long been believed to be generated, updated and maintained by recurrent attractor networks (Brody et al., 2003; Durstewitz et al., 2000).”
Burst timing-dependent plasticity of NMDA receptor-mediated transmission in midbrain dopamine neurons: A putative cellular substrate for reward learning (2009, neutral): “This subthreshold input to DA neurons is persistent (for 1-5 s), via either continuous presentation of the tone (Schultz, 1998) or sustained neural activity as has been described in the PFC (Constantinidis and Wang, 2004; Durstewitz et al., 2000; Goldman-Rakic, 1995; Wang et al., 2006; Wang, 1999) a”
ROBUST TIMING AND MOTOR PATTERNS BY TAMING CHAOS IN RECURRENT NEURAL NETWORKS (2012, background): “An influential theory in neuroscience is that computations are instantiated by the activity of neural networks converging to steady-state patterns (Amit, 1989; Amit and Brunel, 1997; Brody et al., 2003; Durstewitz et al., 2000; Hopfield, 1982; Wang, 2001).”
Genes, dopamine and cortical signal-to-noise ratio in schizophrenia. (2004, background): “Neural network simulation studies support the importance of these basic connections by demonstrating that a structured network activity profile, which gives rise to increased signal-to-noise ratio (SNR) within a local cortical network, requires strong recurrent excitation between nearby neurons with”
Dynamical principles in neuroscience (2006, background): “Since its conceptualization de Nó, 1938; Hebb, 1949 , reverberating activity in microcircuits has been explored in many modeling papers Grossberg, 1973; Amit and Brunel, 1997a; Durstewitz et al., 2000; Seung et al., 2000; Wang, 2001 .”
Using Conceptors to Manage Neural Long-Term Memories for Temporal Patterns (2017, background): “• In computational neuroscience, attractor-like phenomena of all sorts are widely investigated as neural mechanisms for representing and processing information in neural systems (partial overviews in Durstewitz et al. (2000); Fusi and Wang (2016); Jaeger (2012)).”
Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia (2006, background): “…by several researchers—e.g., Lewis & O’Donnell, 2000; Fellous et al., 1998; Wang, 1999; Dilmore, Gutkin, & Ermentrout, 1999; Gorelova & Yang, 2000; Durstewitz, Seamans, & Sejnowski, 2000b.) The ﬁrst opportunity to toggle PFC maintenance occurs at the end of ﬁrst plus phase and then again at the…”
Working Memory 2.0 (2018, background): “, 2001;Kritzer andGoldman-Rakic, 1995), andpersistent activity is typically modelled using local recurrent connectivity (Amit and Brunel, 1997; Compte et al., 2000; Durstewitz et al., 2000).”
Computational models of schizophrenia and dopamine modulation in the prefrontal cortex (2008, background): “Any factor that reduces the currents through the NmDA ( N -methyl-d-aspartate) receptors (NmDARs) on the pyramidal cells, as seems to occur in patients with schizophrenia 39 , would decrease the firing rates of the set of activated neurons and tend to make the network more distractible 6,38 .”
Controlling Recurrent Neural Networks by Conceptors (2014, background): “From these three discrepancy signals δ[l](n) two trust variables τ[12], τ[23] are derived.”
The computational role of dopamine D1 receptors in working memory (2002, methodology): “…more than 60% of the total charge delivered by excitatory synapses (Spruston, Jonas, & Sakmann, 1995), due to their long offset time constant helped to provide the sustained synaptic drive required to maintain persistent activity at reasonable firing rates (Durstewitz et al., 2000a; Wang, 1999).”
The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields (2008, background): “Local recurrent circuitry has received the most attention, but other theoretical mechanisms for the maintenance of persistent activity, including local recurrent synaptic feedback and intrinsic cellular bistability [58,59], have been put forward.”
A neurodynamical model for working memory (2011, background): “Working memory (WM), citing a version of the standard definition from Durstewitz, Seamans, and Sejnowski (2000), is ‘‘the ability to transiently hold and manipulate goal-related information to guide forthcoming actions’’.”