Brette, R. and Gerstner, W. (2005). Adaptive exponential integrate-and-fire model
as an effective description of neuronal activity. Journal of Neurophysiology,
94(5):3637–3642. PMID: 16014787.
DeFelipe, J., Ballesteros-Yáñez, I., Inda, M. C., and Muñoz, A. (2006). Double-bouquet
cells in the monkey and human cerebral cortex with special reference to areas 17
and 18. Progress in brain research, 154:15–32.
DeFelipe, J., Hendry, S., and Jones, E. (1989). Synapses of double bouquet cells in
monkey cerebral cortex visualized by calbindin immunoreactivity. Brain research,
503(1):49–54.
Fiebig, F. and Lansner, A. (2017). A spiking working memory model based on hebbian
short-term potentiation. Journal of Neuroscience, 37(1):83–96.
Gewaltig, M.-O. and Diesmann, M. (2007). Nest (neural simulation tool). Scholarpedia, 2(4):1430.
Kawaguchi, Y. and Kubota, Y. (1996). Physiological and morphological identification
of somatostatin-or vasoactive intestinal polypeptide-containing cells among
gabaergic cell subtypes in rat frontal cortex. Journal of Neuroscience, 16(8):2701–
2715.
Kawaguchi, Y. and Kubota, Y. (1997). Gabaergic cell subtypes and their synaptic connections
in rat frontal cortex. Cerebral cortex, 7 (6):476–86.
Kelsom, C. and Lu, W. (2013). Development and specification of gabaergic cortical
interneurons. Cell & Bioscience, 3(1):19.
Krimer, L. S., Zaitsev, A. V., Czanner, G., Kroner, S., González-Burgos, G., Povysheva,
N. V., Iyengar, S., Barrionuevo, G., and Lewis, D. A. (2005). Cluster analysis–based
physiological classification and morphological properties of inhibitory neurons in layers 2–3 of monkey dorsolateral prefrontal cortex. Journal of neurophysiology, 94(5):3009–3022.
Lansner, A. (2009). Associative memory models: from the cell-assembly theory to
biophysically detailed cortex simulations. Trends in neurosciences, 32 (3):178–
186.
Mari´a, R. and DeFelipe, J. (1995). A light and electron microscopic study of calbindin
d-28k immunoreactive double bouquet cells in the human temporal cortex. Brain
research, 690(1):133–140.
Markram, H., Toledo-Rodriguez, M., Wang, Y., Gupta, A., Silberberg, G., and Wu,
C. (2004). Interneurons of the neocortical inhibitory system. Nature Reviews
Neuroscience, 5(10):793–807.
Silberberg, G. and Markram, H. (2007). Disynaptic inhibition between neocortical
pyramidal cells mediated by martinotti cells. Neuron, 53(5):735–746.
Strata, P. and Harvey, R. (1999). Dales principle. Brain research bulletin, 50(5-6):349–
350.
Tamas, G., Buhl, E., and Somogyi, P. (1997). Fast ipsps elicited via multiple synaptic
release sites by different types of gabaergic neurone in the cat visual cortex. The
Journal of physiology, 500(3):715–738.
Tsodyks, M. V. and Markram, H. (1997). The neural code between neocortical pyra-
midal neurons depends on neurotransmitter release probability. Proceedings of the
National Academy of Sciences, 94(2):719-723.
Tully, P. J., Hennig, M. H., and Lansner, A. (2014). Synaptic and nonsynaptic plasticity
approximating probabilistic inference. Frontiers in Synaptic Neuroscience, (6):8.
Tully, P. J., Lindén, H., Hennig, M. H., and Lansner, A. (2016). Spike-based bayesian-
hebbian learning of temporal sequences. PLoS computational biology, 12(5):1–35.
Yáñez, I. B., Muñoz, A., Contreras, J., Gonzalez, J., Rodri´guez-Veiga, E., and DeFelipe,
J. (2005). Double bouquet cell in the human cerebral cortex and a comparison with
other mammals. The Journal of comparative neurology, 486 (4):344–360.
Zaitsev, A. V., Povysheva, N. V., Gonzalez-Burgos, G., Rotaru, D., Fish, K. N., Krimer,
L. S., and Lewis, D. A. (2008). Interneuron diversity in layers 2–3 of monkey
prefrontal cortex. Cerebral cortex, 19(7):1597–1615.
Wulfram Gerstner and Richard Naud. How good are neuron models? Science,
326(5951):379–380, 2009.
Sandberg, A., Lansner, A., Petersson, K. M., and Ekeberg. (2002). A bayesian attractor
network with incremental learning. Network: Computation in neural systems,
13(2):179–194.
Muir, D. R., Da Costa, N. M., Girardin, C. C., Naaman, S., Omer, D. B., Ruesch, E.,
Grinvald, A., and Douglas, R. J. (2011). Embedding of cortical representations by
the superficial patch system. Cerebral Cortex, 21(10):2244–2260.
Yoshimura, Y. and Callaway, E. M. (2005). Fine-scale specificity of cortical networks
depends on inhibitory cell type and connectivity. Nature neuroscience, 8(11):1552.
Stettler, D. D., Das, A., Bennett, J., and Gilbert, C. D. (2002). Lateral connectivity and
contextual interactions in macaque primary visual cortex. Neuron, 36(4):739–750.
Binzegger, T., Douglas, R., and Martin, K. (2009). Topology and dynamics of the
canonical circuit of cat v1. Neural Networks, 22(8):1071 – 1078. Cortical Microcircuits.
Thomson, A. M., West, D. C., Wang, Y., and Bannister, A. P. (2002). Synaptic
Connections and Small Circuits Involving Excitatory and Inhibitory Neurons in Layers
25 of Adult Rat and Cat Neocortex: Triple Intracellular Recordings and Biocytin
Labelling In Vitro. Cerebral Cortex, 12(9):936–953.
Lansner, A. and Ekeberg, . (1989). A one-layer feedback artificial neural network with
a bayesian learning rule.
Caporale, N. and Dan, Y. (2008). Spike timing–dependent plasticity: a hebbian learning
rule. Annu. Rev. Neurosci., 31:25–46. International Journal of Neural Systems,
01(01):77–87.
Robert A. McDougal, Thomas M. Morse, Ted Carnevale, Luis Marenco, Rixin Wang,
Michele Migliore, Perry L. Miller, Gordon M. Shepherd, and Michael L. Hines.
Twenty years of modeldb and beyond: building essential modeling tools for the
future of neuroscience. Journal of Computational Neuroscience, 42(1):1–10, Feb
2017.
|
