Learning and Memory: The Behavioral and Biological Substrates

Learning and Memory: The Behavioral and Biological Substrates
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Kinetic models of synaptic transmission. Methods Neuronal Model.

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Zucker, R. Short-term synaptic plasticity. Cambridge, S. Systems-wide proteomic analysis in mammalian cells reveals conserved, functional protein turnover.

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Proteome Res. Softky, W. The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs. Shadlen, M. The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. Hanus, C. Proteostasis in complex dendrites. Shannon, C.

A mathematical theory of communication. Bell Syst. MacKay, D. Sreenivasan, S. Grid cells generate an analog error-correcting code for singularly precise neural computation. Pereira, J.

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A tradeoff between accuracy and flexibility in a working memory circuit endowed with slow feedback mechanisms. Cortex 25 , — McCloskey, M. Catastrophic interference in connectionist networks: the sequential learning problem. Fusi, S. Cascade models of synaptically stored memories. Neuron 45 , — Lahiri, S. A memory frontier for complex synapses. Neural Inf. Fuster, J. Neuron activity related to short-term memory. Goldman-Rakic, P.

Learning and Memory

Cellular basis of working memory. Neuron 14 , — Ranganath, C. Directing the mind's eye: prefrontal, inferior and medial temporal mechanisms for visual working memory. Bliss, T.

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Long-lasting potentiation of synaptic transmission in the dentate area of the anaesthetized rabbit following stimulation of the perforant path. Cajal, S. The Croonian Lecture: La fine structure des centres nerveux. Konorski, J. Hebb, D. Takeuchi, T. The synaptic plasticity and memory hypothesis: encoding, storage and persistence.

Learning and Memory : The Behavioral and Biological Substrates

B Biol. Kandel, E. The molecular and systems biology of memory. Cell , — Vestibulo-ocular reflex arc. Psychiatry 30 , — Eccles, W. Improvements in ionic relays. British patent number: GB Jacob, B. Lisman, J. A mechanism for memory storage insensitive to molecular turnover: a bistable autophosphorylating kinase. USA 82 , — Bierman, A. Studies on the effects of structure on the behavior of enzyme systems. Wilson, H.

Excitatory and inhibitory interactions in localized populations of model neurons. Hopfield, J. Computing with neural circuits: a model.

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Little, W. The existence of persistent states in the brain. Ben-Yishai, R. Theory of orientation tuning in visual cortex. USA 92 , — Burak, Y. Accurate path integration in continuous attractor network models of grid cells. PLoS Comput. Renart, A. Robust spatial working memory through homeostatic synaptic scaling in heterogeneous cortical networks. Neuron 38 , — Widloski, J. A model of grid cell development through spatial exploration and spike time-dependent plasticity.

Neuron 83 , — Goldman, M.

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Robust persistent neural activity in a model integrator with multiple hysteretic dendrites per neuron. Cortex 13 , — Koulakov, A. Model for a robust neural integrator. Aksay, E.

In vivo intracellular recording and perturbation of persistent activity in a neural integrator. Taube, J. Persistent neural activity in head direction cells. Yoon, K. Specific evidence of low-dimensional continuous attractor dynamics in grid cells. Wimmer, K. Bump attractor dynamics in prefrontal cortex explains behavioral precision in spatial working memory. Seelig, J. Neural dynamics for landmark orientation and angular path integration.

Nature , — Ferrell, J. Self-perpetuating states in signal transduction: positive feedback, double-negative feedback and bistability. Cell Biol. Cannon, S. A proposed neural network for the integrator of the oculomotor system. Song, P. Monod, J.