Legenstein R, Pecevski D, Maass W. (2008). A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback. PLoS computational biology. 4 [PubMed]

See more from authors: Legenstein R · Pecevski D · Maass W

References and models cited by this paper

Abbott LF, Nelson SB. (2000). Synaptic plasticity: taming the beast. Nature neuroscience. 3 Suppl [PubMed]

Anderson J, Lampl I, Reichova I, Carandini M, Ferster D. (2000). Stimulus dependence of two-state fluctuations of membrane potential in cat visual cortex. Nature neuroscience. 3 [PubMed]

Bailey CH, Giustetto M, Huang YY, Hawkins RD, Kandel ER. (2000). Is heterosynaptic modulation essential for stabilizing Hebbian plasticity and memory? Nature reviews. Neuroscience. 1 [PubMed]

Bao S, Chan VT, Merzenich MM. (2001). Cortical remodelling induced by activity of ventral tegmental dopamine neurons. Nature. 412 [PubMed]

Baras D, Meir R. (2007). Reinforcement learning, spike-time-dependent plasticity, and the BCM rule. Neural computation. 19 [PubMed]

Bartlett PL, Baxter J, Weaver L. (1999). Direct gradient-based reinforcement learning: II. Gradient ascent algorithms and experiments Tech Rep Australian National University, Research School of Information Sciences and Engineering.

Bi GQ, Poo MM. (1998). Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type. The Journal of neuroscience : the official journal of the Society for Neuroscience. 18 [PubMed]

Borg-Graham LJ, Monier C, Frégnac Y. (1998). Visual input evokes transient and strong shunting inhibition in visual cortical neurons. Nature. 393 [PubMed]

Brunel N. (2000). Dynamics of networks of randomly connected excitatory and inhibitory spiking neurons. Journal of physiology, Paris. 94 [PubMed]

Destexhe A, Marder E. (2004). Plasticity in single neuron and circuit computations. Nature. 431 [PubMed]

Destexhe A, Rudolph M, Fellous JM, Sejnowski TJ. (2001). Fluctuating synaptic conductances recreate in vivo-like activity in neocortical neurons. Neuroscience. 107 [PubMed]

Farries MA, Fairhall AL. (2007). Reinforcement learning with modulated spike timing dependent synaptic plasticity. Journal of neurophysiology. 98 [PubMed]

Fetz EE. (1969). Operant conditioning of cortical unit activity. Science (New York, N.Y.). 163 [PubMed]

Fetz EE. (2007). Volitional control of neural activity: implications for brain-computer interfaces. The Journal of physiology. 579 [PubMed]

Fetz EE, Baker MA. (1973). Operantly conditioned patterns on precentral unit activity and correlated responses in adjacent cells and contralateral muscles. Journal of neurophysiology. 36 [PubMed]

Fetz EE, Finocchio DV. (1975). Correlations between activity of motor cortex cells and arm muscles during operantly conditioned response patterns. Experimental brain research. 23 [PubMed]

Fiete IR, Seung HS. (2006). Gradient learning in spiking neural networks by dynamic perturbation of conductances. Physical review letters. 97 [PubMed]

Florian RV. (2007). Reinforcement learning through modulation of spike-timing-dependent synaptic plasticity. Neural computation. 19 [PubMed]

Gu Q. (2002). Neuromodulatory transmitter systems in the cortex and their role in cortical plasticity. Neuroscience. 111 [PubMed]

Gupta A, Wang Y, Markram H. (2000). Organizing principles for a diversity of GABAergic interneurons and synapses in the neocortex. Science (New York, N.Y.). 287 [PubMed]

Gütig R, Sompolinsky H. (2006). The tempotron: a neuron that learns spike timing-based decisions. Nature neuroscience. 9 [PubMed]

Haeusler S, Maass W. (2007). A statistical analysis of information-processing properties of lamina-specific cortical microcircuit models. Cerebral cortex (New York, N.Y. : 1991). 17 [PubMed]

Hirsch JA, Alonso JM, Reid RC, Martinez LM. (1998). Synaptic integration in striate cortical simple cells. The Journal of neuroscience : the official journal of the Society for Neuroscience. 18 [PubMed]

Hopfield JJ, Brody CD. (2001). What is a moment? Transient synchrony as a collective mechanism for spatiotemporal integration. Proceedings of the National Academy of Sciences of the United States of America. 98 [PubMed]

Izhikevich EM. (2007). Solving the distal reward problem through linkage of STDP and dopamine signaling. Cerebral cortex (New York, N.Y. : 1991). 17 [PubMed]

Jacob V, Brasier DJ, Erchova I, Feldman D, Shulz DE. (2007). Spike timing-dependent synaptic depression in the in vivo barrel cortex of the rat. The Journal of neuroscience : the official journal of the Society for Neuroscience. 27 [PubMed]

Kempter R, Gerstner W, van Hemmen JL. (2001). Intrinsic stabilization of output rates by spike-based Hebbian learning. Neural computation. 13 [PubMed]

Kistler WM, Gerstner W. (2002). Spiking neuron models.

Lyon RF. (1982). A computational model of filtering, detection and compression in the cochlea IEEE Int Conf Acoust, Speech and Signal Processing.

Maass W, Joshi P, Sontag ED. (2007). Computational aspects of feedback in neural circuits. PLoS computational biology. 3 [PubMed]

Maass W, Markram H. (2002). Synapses as dynamic memory buffers. Neural networks : the official journal of the International Neural Network Society. 15 [PubMed]

Maass W, Natschläger T, Markram H. (2002). Real-time computing without stable states: a new framework for neural computation based on perturbations. Neural computation. 14 [PubMed]

Maass W, Natschläger T, Markram H. (2004). Fading memory and kernel properties of generic cortical microcircuit models. Journal of physiology, Paris. 98 [PubMed]

Mainen ZF, Sejnowski TJ. (1995). Reliability of spike timing in neocortical neurons. Science (New York, N.Y.). 268 [PubMed]

Markram H, Wang Y, Tsodyks M. (1998). Differential signaling via the same axon of neocortical pyramidal neurons. Proceedings of the National Academy of Sciences of the United States of America. 95 [PubMed]

Morrison A, Aertsen A, Diesmann M. (2007). Spike-timing-dependent plasticity in balanced random networks. Neural computation. 19 [PubMed]

Pfister JP, Toyoizumi T, Barber D, Gerstner W. (2006). Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning. Neural computation. 18 [PubMed]

Reynolds JN, Hyland BI, Wickens JR. (2001). A cellular mechanism of reward-related learning. Nature. 413 [PubMed]

Reynolds JN, Wickens JR. (2002). Dopamine-dependent plasticity of corticostriatal synapses. Neural networks : the official journal of the International Neural Network Society. 15 [PubMed]

Schrauwen B, Campenhout JV. (2003). BSA, a fast and accurate spike train encoding scheme Proceedings of the International Joint Conference on Neural Networks. 4

Schrauwen B, Campenhout JV, Verstraeten D, Stroobandt D. (2005). Isolated word recognition with the liquid state machine: a case study Inf Process Lett. 95

Schultz W. (2007). Behavioral dopamine signals. Trends in neurosciences. 30 [PubMed]

Shulz DE, Ego-Stengel V, Ahissar E. (2003). Acetylcholine-dependent potentiation of temporal frequency representation in the barrel cortex does not depend on response magnitude during conditioning. Journal of physiology, Paris. 97 [PubMed]

Shulz DE, Sosnik R, Ego V, Haidarliu S, Ahissar E. (2000). A neuronal analogue of state-dependent learning. Nature. 403 [PubMed]

Silberberg G, Bethge M, Markram H, Pawelzik K, Tsodyks M. (2004). Dynamics of population rate codes in ensembles of neocortical neurons. Journal of neurophysiology. 91 [PubMed]

Singer W, Maass W, Haeusler S, Nikolic D. (2007). Temporal dynamics of information content carried by neurons in the primary visual cortex Advances in Neural Information Processing Systems. 19

Song S, Miller KD, Abbott LF. (2000). Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nature neuroscience. 3 [PubMed]

Stevens CF, Zador AM. (1998). Input synchrony and the irregular firing of cortical neurons. Nature neuroscience. 1 [PubMed]

Thiel CM, Friston KJ, Dolan RJ. (2002). Cholinergic modulation of experience-dependent plasticity in human auditory cortex. Neuron. 35 [PubMed]

van Hemmen JL, Gerstner W, Kempter R. (1999). Hebbian learning and spiking neurons Physical Review E. 59

References and models that cite this paper

Brzosko Z, Zannone S, Schultz W, Clopath C, Paulsen O. (2017). Sequential neuromodulation of Hebbian plasticity offers mechanism for effective reward-based navigation. eLife. 6 [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 computational biology. 4 [PubMed]

Davelaar EJ. (2018). Mechanisms of Neurofeedback: A Computation-theoretic Approach. Neuroscience. 378 [PubMed]

Esposito U, Giugliano M, Vasilaki E. (2014). Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity. Frontiers in computational neuroscience. 8 [PubMed]

Mozafari M, Kheradpisheh SR, Masquelier T, Nowzari-Dalini A, Ganjtabesh M. (2018). First-Spike-Based Visual Categorization Using Reward-Modulated STDP IEEE Transactions on Neural Networks and Learning Systems.

Richmond P, Buesing L, Giugliano M, Vasilaki E. (2011). Democratic population decisions result in robust policy-gradient learning: a parametric study with GPU simulations. PloS one. 6 [PubMed]

Zannone S, Brzosko Z, Paulsen O, Clopath C. (2018). Acetylcholine-modulated plasticity in reward-driven navigation: a computational study. Scientific reports. 8 [PubMed]

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.