Citation Relationships

Legends: Link to a Model Reference cited by multiple papers


Hopfield JJ (1982) Neural networks and physical systems with emergent collective computational abilities. Proc Natl Acad Sci U S A 79:2554-8 [PubMed]

References and models cited by this paper

References and models that cite this paper

Aoki T, Aoyagi T (2007) Synchrony-induced switching behavior of spike pattern attractors created by spike-timing-dependent plasticity. Neural Comput 19:2720-38 [Journal] [PubMed]
Aviel Y, Horn D, Abeles M (2005) Memory capacity of balanced networks. Neural Comput 17:691-713 [Journal] [PubMed]
Banerjee A (2001) On the phase-space dynamics of systems of spiking neurons. I: model and experiments. Neural Comput 13:161-93 [PubMed]
Barak O, Tsodyks M (2007) Persistent activity in neural networks with dynamic synapses. PLoS Comput Biol 3:e35 [Journal] [PubMed]
Bianchi D, De Michele P, Marchetti C, Tirozzi B, Cuomo S, Marie H, Migliore M (2014) Effects of increasing CREB-dependent transcription on the storage and recall processes in a hippocampal CA1 microcircuit. Hippocampus 24:165-77 [Journal] [PubMed]
   Effects of increasing CREB on storage and recall processes in a CA1 network (Bianchi et al. 2014) [Model]
Bogacz R, Brown MW, Giraud-Carrier C (2001) Model of familiarity discrimination in the perirhinal cortex. J Comput Neurosci 10:5-23 [PubMed]
Brader JM, Senn W, Fusi S (2007) Learning real-world stimuli in a neural network with spike-driven synaptic dynamics. Neural Comput 19:2881-912 [Journal] [PubMed]
Burkitt AN, Meffin H, Grayden DB (2004) Spike-timing-dependent plasticity: the relationship to rate-based learning for models with weight dynamics determined by a stable fixed point. Neural Comput 16:885-940 [Journal] [PubMed]
Chover J, Haberly LB, Lytton WW (2001) Alternating dominance of NMDA and AMPA for learning and recall: a computer model. Neuroreport 12:2503-7 [PubMed]
Clopath C, Ziegler L, Vasilaki E, Büsing L, Gerstner W (2008) Tag-trigger-consolidation: a model of early and late long-term-potentiation and depression. PLoS Comput Biol 4:e1000248 [Journal] [PubMed]
   Tag Trigger Consolidation (Clopath and Ziegler et al. 2008) [Model]
Cortes JM, Torres JJ, Marro J, Garrido PL, Kappen HJ (2006) Effects of fast presynaptic noise in attractor neural networks. Neural Comput 18:614-33 [Journal] [PubMed]
Curti E, Mongillo G, La Camera G, Amit DJ (2004) Mean field and capacity in realistic networks of spiking neurons storing sparsely coded random memories. Neural Comput 16:2597-637 [Journal] [PubMed]
Cutsuridis V, Cobb S, Graham BP (2010) Encoding and retrieval in a model of the hippocampal CA1 microcircuit. Hippocampus 20:423-46 [Journal] [PubMed]
   Encoding and retrieval in a model of the hippocampal CA1 microcircuit (Cutsuridis et al. 2009) [Model]
Dominguez D, Koroutchev K, Serrano E, Rodríguez FB (2007) Information and topology in attractor neural networks. Neural Comput 19:956-73 [Journal] [PubMed]
Ermentrout GB, Terman DH (2010) Mathematical Foundations of Neuroscience Interdisciplinary Applied Mathematics, Antman SS:Marsden JE:Sirovich L:Wiggins, ed. pp.1 [Journal]
   Mathematical Foundations of Neuroscience (Ermentrout and Terman 2010) [Model]
Fransén E, Lansner A (1998) A model of cortical associative memory based on a horizontal network of connected columns. Network 9:235-64 [PubMed]
Golomb D, Ahissar E, Kleinfeld D (2006) Coding of stimulus frequency by latency in thalamic networks through the interplay of GABAB-mediated feedback and stimulus shape. J Neurophysiol 95:1735-50 [Journal] [PubMed]
   Coding of stimulus frequency by latency in thalamic networks (Golomb et al 2005) [Model]
Hamaguchi K, Hatchett JP, Okada M (2006) Analytic solution of neural network with disordered lateral inhibition. Phys Rev E Stat Nonlin Soft Matter Phys 73:051104 [Journal] [PubMed]
Hao J, Wang XD, Dan Y, Poo MM, Zhang XH (2009) An arithmetic rule for spatial summation of excitatory and inhibitory inputs in pyramidal neurons. Proc Natl Acad Sci U S A 106:21906-11 [Journal] [PubMed]
   Spatial summation of excitatory and inhibitory inputs in pyramidal neurons (Hao et al. 2010) [Model]
Heitmann S, Breakspear M (2018) Chapter 1 Handbook for the Brain Dynamics Toolbox: Version 2018a :1-88 [Journal]
   Brain Dynamics Toolbox (Heitmann & Breakspear 2016, 2017, 2018) [Model]
Izhikevich EM (2006) Polychronization: computation with spikes. Neural Comput 18:245-82 [Journal] [PubMed]
   Polychronization: Computation With Spikes (Izhikevich 2005) [Model]
Johansson C, Lansner A (2007) Towards cortex sized artificial neural systems. Neural Netw 20:48-61 [Journal] [PubMed]
Latham PE, Nirenberg S (2004) Computing and stability in cortical networks. Neural Comput 16:1385-412 [Journal] [PubMed]
Leibold C, Kempter R (2006) Memory capacity for sequences in a recurrent network with biological constraints. Neural Comput 18:904-41 [Journal] [PubMed]
Liu YS, Holmes P, Cohen JD (2008) A neural network model of the Eriksen task: reduction, analysis, and data fitting. Neural Comput 20:345-73 [Journal] [PubMed]
London M, Schreibman A, Häusser M, Larkum ME, Segev I (2002) The information efficacy of a synapse. Nat Neurosci 5:332-40 [Journal] [PubMed]
Lücke J, von der Malsburg C (2004) Rapid processing and unsupervised learning in a model of the cortical macrocolumn. Neural Comput 16:501-33 [Journal] [PubMed]
Lundqvist M, Rehn M, Djurfeldt M, Lansner A (2006) Attractor dynamics in a modular network model of neocortex. Network 17:253-76 [Journal] [PubMed]
Lytton WW (1998) Adapting a feedforward heteroassociative network to Hodgkin-Huxley dynamics. J Comput Neurosci 5:353-64 [PubMed]
   Feedforward heteroassociative network with HH dynamics (Lytton 1998) [Model]
Lytton WW, Lipton P (1999) Can the hippocampus tell time? The temporo-septal engram shift model. Neuroreport 10:2301-6 [Journal] [PubMed]
   Hippocampus temporo-septal engram shift model (Lytton 1999) [Model]
Ma J, Wu J (2007) Multistability in spiking neuron models of delayed recurrent inhibitory loops. Neural Comput 19:2124-48 [Journal] [PubMed]
Maass W, Joshi P, Sontag ED (2007) Computational aspects of feedback in neural circuits. PLoS Comput Biol 3:e165 [Journal] [PubMed]
   Computational aspects of feedback in neural circuits (Maass et al 2006) [Model]
Maass W, Natschlager T (1997) Networks of spiking neurons can emulate arbitrary Hopfield nets in temporal coding Network: Computation In Neural Systems 8:355-372
Mari CF (2004) Extremely dilute modular neuronal networks: neocortical memory retrieval dynamics. J Comput Neurosci 17:57-79 [Journal] [PubMed]
Menschik ED, Finkel LH (1998) Neuromodulatory control of hippocampal function: towards a model of Alzheimer's disease. Artif Intell Med 13:99-121 [PubMed]
Miller P (2006) Analysis of spike statistics in neuronal systems with continuous attractors or multiple, discrete attractor States. Neural Comput 18:1268-317 [Journal] [PubMed]
Molter C, Salihoglu U, Bersini H (2007) The road to chaos by time-asymmetric Hebbian learning in recurrent neural networks. Neural Comput 19:80-110 [Journal] [PubMed]
Murray JF, Kreutz-Delgado K (2007) Visual recognition and inference using dynamic overcomplete sparse learning. Neural Comput 19:2301-52 [Journal] [PubMed]
Ownby RL (1998) Computational model of obsessive-compulsive disorder: examination of etiologic hypothesis and treatment strategies. Depress Anxiety 8:91-103 [PubMed]
Pouget A, Dayan P, Zemel RS (2003) Inference and computation with population codes. Annu Rev Neurosci 26:381-410 [Journal] [PubMed]
Rehn M, Sommer FT (2007) A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields. J Comput Neurosci 22:135-46 [Journal] [PubMed]
Renart A, Moreno-Bote R, Wang XJ, Parga N (2007) Mean-driven and fluctuation-driven persistent activity in recurrent networks. Neural Comput 19:1-46 [Journal] [PubMed]
Rennó-Costa C, Tort ABL (2017) Place and Grid Cells in a Loop: Implications for Memory Function and Spatial Coding. J Neurosci 37:8062-8076 [Journal] [PubMed]
   Place and grid cells in a loop (Rennó-Costa & Tort 2017) [Model]
Sanders H, Kolterman BE, Shusterman R, Rinberg D, Koulakov A, Lisman J (2014) A network that performs brute-force conversion of a temporal sequence to a spatial pattern: relevance to odor recognition. Front Comput Neurosci 8:108 [Journal] [PubMed]
   NMDAR & GABAB/KIR Give Bistable Dendrites: Working Memory & Sequence Readout (Sanders et al., 2013) [Model]
Seung HS, Lee DD, Reis BY, Tank DW (2000) The autapse: a simple illustration of short-term analog memory storage by tuned synaptic feedback. J Comput Neurosci 9:171-85 [PubMed]
Shepherd GM, Brayton RK (1987) Logic operations are properties of computer-simulated interactions between excitable dendritic spines. Neuroscience 21:151-65 [PubMed]
Síma J, Orponen P (2003) General-purpose computation with neural networks: a survey of complexity theoretic results. Neural Comput 15:2727-78 [Journal] [PubMed]
Soula H, Chow CC (2007) Stochastic dynamics of a finite-size spiking neural network. Neural Comput 19:3262-92 [Journal] [PubMed]
Sterratt D, Graham B, Gillies A, Willshaw D (2011) Principles of Computational Modelling in Neuroscience, Cambridge University Press :1-401 [Journal]
   Principles of Computational Modelling in Neuroscience (Book) (Sterratt et al. 2011) [Model]
Sterratt DC, Willshaw D (2008) Inhomogeneities in heteroassociative memories with linear learning rules. Neural Comput 20:311-44 [Journal] [PubMed]
Teramae JN, Fukai T (2007) Local cortical circuit model inferred from power-law distributed neuronal avalanches. J Comput Neurosci 22:301-12 [Journal] [PubMed]
Tino P (2007) Equilibria of iterative softmax and critical temperatures for intermittent search in self-organizing neural networks. Neural Comput 19:1056-81 [Journal] [PubMed]
Torres JJ, Cortes JM, Marro J, Kappen HJ (2007) Competition between synaptic depression and facilitation in attractor neural networks. Neural Comput 19:2739-55 [Journal] [PubMed]
Treves A (2003) Computational constraints that may have favoured the lamination of sensory cortex. J Comput Neurosci 14:271-82 [PubMed]
Vertechi P, Brendel W, Machens CK (2014) Unsupervised learning of an efficient short-term memory network Advances in Neural Information Processing Systems 27:1-9 [Journal]
   Unsupervised learning of an efficient short-term memory network (Vertechi, Brendel & Machens 2014) [Model]
Wetmore DZ, Mukamel EA, Schnitzer MJ (2008) Lock-and-key mechanisms of cerebellar memory recall based on rebound currents. J Neurophysiol 100:2328-47 [Journal] [PubMed]
Xia Y (2004) An Extended Projection Neural Network for Constrained Optimization Neural Comput 16:863-883
Yoshioka M (2002) Spike-timing-dependent learning rule to encode spatiotemporal patterns in a network of spiking neurons. Phys Rev E Stat Nonlin Soft Matter Phys 65:011903 [Journal] [PubMed]
Yuste R, Majewska A (2001) On the function of dendritic spines. Neuroscientist 7:387-95 [Journal] [PubMed]
(62 refs)