[1] Cowan, N. What are the differences between long-term, short-term, and working memory? Progress in Brain Research, 169, 323-338 (2008)
[2] Cowan, N. Evolving conceptions of memory storage, selective attention, and their mutual con- straints within the human information processing system. Psychology Bulletin, 104, 163-191 (1988)
[3] Cowan, N. The magical number 4 in short-term memory: a reconsideration of mental storage capacity. Behavior in Brain Science, 24, 87-185 (2001)
[4] Timothee, L. and Kazuyuki, A. Combined effects of LTP/LTD and synaptic scaling in forma- tion of discrete and line attractors with persistent activity from non-trivial baseline. Cognitive Neurodynamics, 6, 499-524 (2012)
[5] Cooke, S. F. and Bliss, T. V. Plasticity in the human central nervous system. Brain, 129, 1659- 1673 (2006)
[6] Seiya, I. and Yoshio, S. Recall of sequences based on the position of the first cue stimulus in rats. Cognitive Neurodynamics, 8, 345-351 (2014)
[7] Lars, H., Carlos, T., Mai, M., and Daniel, J. S. Neurofunctional model of large-scale correlates of selective attention governed by stimulus-novelty. Cognitive Neurodynamics, 5, 104-111 (2011)
[8] Jennifer, A. S., Katharine, C. E., Charles, N. M., and Jonathan, P. M. Improved learning and memory with theta-burst stimulation of the fornix in rat model of traumatic brain injury. Hippocampus , 24, 1-8 (2014)
[9] Otto, T., Eichenbaum, H., Wiener, S. I., and Wible, C. G. Learning-related patterns of CA1 spike trains parallel stimulation parameters optimal for inducing hippocampal long-term potentiation. Hippocampus, 1, 181-192 (1991)
[10] Yun, S. H., Mook-Jung, I., and Jung, M.W. Variation in effective stimulus patterns for induction of long-term potentiation across different layers of rat entorhinal cortex. The Journal of Neuroscience, 22, 1-5 (2002)
[11] Perez, Y., Chapman, C. A., Woodhall, G., Robitaille, R., and Lacaille, J. C. Differential induction of long-lasting potentiation of inhibitory postsynaptic potentials by theta patterned stimulation versus 100-Hz tetanization in hippocampal pyramidal cells in vitro. Neuroscience, 90, 747-757 (1999)
[12] Fall, C. P. and Rinzel, J. An intracellular Ca2+ subsystem as a biologically plausible source of intrinsic conditional bi-stability in a network model of working memory. Journal of Computational Neuroscience, 20, 97-107 (2006)
[13] Liang, L., Wang, R., and Zhang, Z. The modeling and simulation of visuospatial working memory. Cognitive Neurodynamics, 4, 359-366 (2010)
[14] Wang, R. B., Shen, E. H., and Gu, F. J. Advances in cognitive neurodynamics ICCN 2007. Proceedings of the International Conference on Cognitive Neurodynamics, Springer, Heidelberg, 463-467 (2008)
[15] Shriki, O., Hansel, D., and Sompolinsky, H. Rate models for conductance-based cortical beural networks. Neural Computation, 15, 1809-1841 (2003)
[16] Fall, C. P. and Rinzel, J. An intracellular Ca2+ subsystem as a biologically plausible source of in- trinsic conditional bi-stability in a network model of working memory. Computatinal Neuroscience, 20, 97-107 (2006)
[17] Eugen, T. Short term memory may be the depletion of the readily releasable pool of presynaptic neurotransmitter vesicles of a metastable long term memory trace pattern. Cognitive Neurodynamics , 3, 263-269 (2009) |