Beyond bistability: Biophysics and temporal dynamics of working memory

被引:70
作者
Durstewitz, D
Seamans, JK
机构
[1] Univ Plymouth, Ctr Theoret & Computat Neurosci, Plymouth PL4 8AA, Devon, England
[2] Med Univ S Carolina, Dept Physiol & Neurosci, Charleston, SC 29425 USA
关键词
persistent activity; up-states; neural coding; climbing activity; timing; computational model;
D O I
10.1016/j.neuroscience.2005.06.094
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Working memory has often been modeled and conceptualized as a kind of binary (bistable) memory switch, where stimuli turn on plateau-like persistent activity in subsets of cells, in line with many in vivo electrophysiological reports. A potentially related form of bistability, termed up- and down-states, has been studied with regard to its synaptic and ionic basis in vivo and in reduced cortical preparations. Also single cell mechanisms for producing bistability have been proposed and investigated in brain slices and computationally. Recently, however, it has been emphasized that clear plateau-like bistable activity is rather rare during working memory tasks, and that neurons exhibit a multitude of different temporally unfolding activity profiles and temporal structure within their spiking dynamics. Hence, working memory seems to be a highly dynamical neural process with yet unknown mappings from dynamical to computational properties. Empirical findings on ramping activity profiles and temporal structure will be reviewed, as well as neural models that attempt to account for it and its computational significance. Furthermore, recent in vivo, neural culture, and in vitro preparations will be discussed that offer new possibilities for studying the biophysical mechanisms underlying computational processes during working memory. These preparations have revealed additional evidence for temporal structure and spatio-temporally organized attractor states in cortical networks, as well as for specific computational properties that may characterize synaptic processing during high-activity states as during working memory. Together such findings may lay the foundations for highly dynamical theories of working memory based on biophysical principles. (C) 2005 IBRO. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:119 / 133
页数:15
相关论文
共 159 条
[1]   SPATIOTEMPORAL FIRING PATTERNS IN THE FRONTAL-CORTEX OF BEHAVING MONKEYS [J].
ABELES, M ;
BERGMAN, H ;
MARGALIT, E ;
VAADIA, E .
JOURNAL OF NEUROPHYSIOLOGY, 1993, 70 (04) :1629-1638
[2]  
Abeles M., 1991, CORTICONICS
[3]   Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex [J].
Amit, DJ ;
Brunel, N .
CEREBRAL CORTEX, 1997, 7 (03) :237-252
[4]   LEARNING INTERNAL REPRESENTATIONS IN AN ATTRACTOR NEURAL-NETWORK WITH ANALOG NEURONS [J].
AMIT, DJ ;
BRUNEL, N .
NETWORK-COMPUTATION IN NEURAL SYSTEMS, 1995, 6 (03) :359-388
[5]   CELL EXCITATION ENHANCES MUSCARINIC CHOLINERGIC RESPONSES IN RAT-ASSOCIATION CORTEX [J].
ANDRADE, R .
BRAIN RESEARCH, 1991, 548 (1-2) :81-93
[6]   Blockade of NMDA receptors located at the dorsomedial prefrontal cortex impairs spatial working memory in rats [J].
Aura, J ;
Riekkinen, P .
NEUROREPORT, 1999, 10 (02) :243-248
[7]  
Barnet RC, 1996, J EXP PSYCHOL ANIM B, V22, P279
[8]   Temporal integration in second-order conditioning and sensory preconditioning [J].
Barnet, RC ;
Cole, RP ;
Miller, RR .
ANIMAL LEARNING & BEHAVIOR, 1997, 25 (02) :221-233
[9]   Neuronal avalanches are diverse and precise activity patterns that are stable for many hours in cortical slice cultures [J].
Beggs, JM ;
Plenz, D .
JOURNAL OF NEUROSCIENCE, 2004, 24 (22) :5216-5229
[10]  
Beggs JM, 2003, J NEUROSCI, V23, P11167