A biologically plausible model of time-scale invariant interval timing
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[1] Riccardo Mannella,et al. Noise in Nonlinear Dynamical Systems , 2009 .
[2] Idan Segev,et al. Methods in Neuronal Modeling , 1988 .
[3] S. Grossberg,et al. Metabotropic Glutamate Receptor Activation in Cerebellar Purkinje Cells as Substrate for Adaptive Timing of the Classically Conditioned Eye-Blink Response , 1996, The Journal of Neuroscience.
[4] T. Ono,et al. Retrospective and prospective coding for predicted reward in the sensory thalamus , 2001, Nature.
[5] C. Morris,et al. Voltage oscillations in the barnacle giant muscle fiber. , 1981, Biophysical journal.
[6] H. Kramers. Brownian motion in a field of force and the diffusion model of chemical reactions , 1940 .
[7] Xiao-Jing Wang,et al. Mean-Field Theory of Irregularly Spiking Neuronal Populations and Working Memory in Recurrent Cortical Networks , 2003 .
[8] M. Nicolelis,et al. Decoding of temporal intervals from cortical ensemble activity. , 2008, Journal of neurophysiology.
[9] Charles J. Wilson,et al. The origins of two-state spontaneous membrane potential fluctuations of neostriatal spiny neurons , 1996, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[10] F. Manning,et al. Performance under temporal schedules by monkeys with partial ablations of prefontal cortex. , 1973, Physiology & behavior.
[11] R. Malenka,et al. Dopaminergic modulation of neuronal excitability in the striatum and nucleus accumbens. , 2000, Annual review of neuroscience.
[12] S. Karlin,et al. A second course in stochastic processes , 1981 .
[13] W. Smeets,et al. Evolution of the basal ganglia: new perspectives through a comparative approach , 2000, Journal of anatomy.
[14] L. Pontryagin,et al. Noise in nonlinear dynamical systems: Appendix: On the statistical treatment of dynamical systems , 1989 .
[15] Sabine Windmann,et al. Single forebrain neurons represent interval timing and reward amount during response scheduling , 2006, The European journal of neuroscience.
[16] Paul Miller,et al. Stability of discrete memory states to stochastic fluctuations in neuronal systems. , 2006, Chaos.
[17] Bruno Delord,et al. A biophysical model of nonlinear dynamics underlying plateau potentials and calcium spikes in purkinje cell dendrites. , 2002, Journal of neurophysiology.
[18] Masahiko Inase,et al. Striatal neurons encoded temporal information in duration discrimination task , 2008, Experimental Brain Research.
[19] William Feller,et al. An Introduction to Probability Theory and Its Applications , 1951 .
[20] Mortimer Mishkin,et al. Time discrimination with positional responses after selective prefrontal lesions in monkeys , 1981, Brain Research.
[21] W. Ebeling. Stochastic Processes in Physics and Chemistry , 1995 .
[22] W. Senn,et al. Climbing Neuronal Activity as an Event-Based Cortical Representation of Time , 2004, The Journal of Neuroscience.
[23] W. Meck. Neuroanatomical localization of an internal clock: A functional link between mesolimbic, nigrostriatal, and mesocortical dopaminergic systems , 2006, Brain Research.
[24] H. M. Taylor,et al. An introduction to stochastic modeling , 1985 .
[25] J. Wearden,et al. Scalar Properties in Animal Timing: Conformity and Violations , 2006, Quarterly journal of experimental psychology.
[26] Daniel Durstewitz,et al. Self-Organizing Neural Integrator Predicts Interval Times through Climbing Activity , 2003, The Journal of Neuroscience.
[27] E. Fetz. Operant Conditioning of Cortical Unit Activity , 1969, Science.
[28] Tomoki Fukai,et al. Temporal integration by stochastic recurrent network dynamics with bimodal neurons. , 2007, Journal of neurophysiology.
[29] W. Meck,et al. Cortico-striatal circuits and interval timing: coincidence detection of oscillatory processes. , 2004, Brain research. Cognitive brain research.
[30] R. Ivry. The representation of temporal information in perception and motor control , 1996, Current Opinion in Neurobiology.
[31] R. C. Miall. Neural networks and the representation of time. , 1993 .
[32] H Okamoto,et al. Neural mechanism for a cognitive timer. , 2001, Physical review letters.
[33] R M Church,et al. Scalar Timing in Memory , 1984, Annals of the New York Academy of Sciences.
[34] J. Wearden,et al. Scalar properties in animal timing: conformity and violations. , 2006, Quarterly journal of experimental psychology.
[35] M. Hasselmo,et al. Switching between “On” and “Off” states of persistent activity in lateral entorhinal layer III neurons , 2007, Hippocampus.
[36] Germán Mato,et al. Asynchronous States and the Emergence of Synchrony in Large Networks of Interacting Excitatory and Inhibitory Neurons , 2003, Neural Computation.
[37] A. Cooper,et al. Predictive Reward Signal of Dopamine Neurons , 2011 .
[38] Y. Sakurai,et al. Stimulus duration in working memory is represented by neuronal activity in the monkey prefrontal cortex , 2004, The European journal of neuroscience.
[39] Y. Kuznetsov. Elements of applied bifurcation theory (2nd ed.) , 1998 .
[40] Christopher Miall,et al. The Storage of Time Intervals Using Oscillating Neurons , 1989, Neural Computation.
[41] J. Bargas,et al. D1 Receptor Activation Enhances Evoked Discharge in Neostriatal Medium Spiny Neurons by Modulating an L-Type Ca2+ Conductance , 1997, The Journal of Neuroscience.
[42] M. Nicolelis,et al. Interval timing and the encoding of signal duration by ensembles of cortical and striatal neurons. , 2003, Behavioral neuroscience.
[43] A. Koulakov,et al. Model for a robust neural integrator , 2002, Nature Neuroscience.
[44] Yael Niv,et al. Operant Conditioning , 1971 .
[45] G. Ermentrout,et al. Analysis of neural excitability and oscillations , 1989 .
[46] Charles J. Wilson,et al. The generation of natural firing patterns in neostriatal neurons. , 1993, Progress in brain research.
[47] Masahiko Inase,et al. Delay period activity of monkey prefrontal neurones during duration‐discrimination task , 2006, The European journal of neuroscience.
[48] C. Gallistel,et al. Toward a neurobiology of temporal cognition: advances and challenges , 1997, Current Opinion in Neurobiology.
[49] W. Meck. Neuropharmacology of timing and time perception. , 1996, Brain research. Cognitive brain research.
[50] Frances S. Chance,et al. Gain Modulation from Background Synaptic Input , 2002, Neuron.
[51] P. J. Holmes,et al. Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields , 1983, Applied Mathematical Sciences.
[52] M. Shadlen,et al. Representation of Time by Neurons in the Posterior Parietal Cortex of the Macaque , 2003, Neuron.
[53] Warren H Meck,et al. Cortico-striatal Representation of Time in Animals and Humans This Review Comes from a Themed Issue on Cognitive Neuroscience Edited Evidence from Patient Populations and Electrical Potentials Neuroimaging Evidence Using Fmri and Pet , 2022 .
[54] R. Romo,et al. Timing and neural encoding of somatosensory parametric working memory in macaque prefrontal cortex. , 2003, Cerebral cortex.
[55] P. Goldman-Rakic,et al. Delay-related activity of prefrontal neurons in rhesus monkeys performing delayed response , 1982, Brain Research.
[56] Steven H. Strogatz,et al. Nonlinear Dynamics and Chaos , 2024 .
[57] A. Machado. Learning the temporal dynamics of behavior. , 1997, Psychological review.
[58] A. Grace,et al. Synaptic interactions among excitatory afferents to nucleus accumbens neurons: hippocampal gating of prefrontal cortical input , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[59] D. Amit,et al. Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. , 1997, Cerebral cortex.
[60] C. B. Ferster,et al. Schedules of reinforcement , 1957 .
[61] N. Kampen,et al. Stochastic processes in physics and chemistry , 1981 .
[62] Y. Kuznetsov. Elements of Applied Bifurcation Theory , 2023, Applied Mathematical Sciences.
[63] Alexa Riehle,et al. Context‐related representation of timing processes in monkey motor cortex , 2003, The European journal of neuroscience.
[64] Catalin V. Buhusi,et al. What makes us tick? Functional and neural mechanisms of interval timing , 2005, Nature Reviews Neuroscience.
[65] D. Buonomano,et al. The neural basis of temporal processing. , 2004, Annual review of neuroscience.
[66] J. Gibbon. Scalar expectancy theory and Weber's law in animal timing. , 1977 .
[67] William H. Press,et al. Numerical recipes in C , 2002 .
[68] Masataka Watanabe,et al. Prefrontal and cingulate unit activity during timing behavior in the monkey , 1979, Brain Research.
[69] E. Helfand. Numerical integration of stochastic differential equations , 1979, The Bell System Technical Journal.
[70] M. Hasselmo,et al. Graded persistent activity in entorhinal cortex neurons , 2002, Nature.
[71] P. Killeen,et al. A behavioral theory of timing. , 1988, Psychological review.
[72] Shozo Kojima,et al. Prefrontal neuron activity during delayed-response performance without imperative GO signals in the monkey , 1981, Experimental Neurology.
[73] Jianfeng Feng,et al. Computational neuroscience , 1986, Behavioral and Brain Sciences.
[74] P. Holmes,et al. Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields , 1983, Applied Mathematical Sciences.
[75] Stephen Grossberg,et al. Neural dynamics of adaptive timing and temporal discrimination during associative learning , 1989, Neural Networks.
[76] Anthony A Grace,et al. Opposite Influences of Endogenous Dopamine D1 and D2 Receptor Activation on Activity States and Electrophysiological Properties of Striatal Neurons: Studies CombiningIn Vivo Intracellular Recordings and Reverse Microdialysis , 2002, The Journal of Neuroscience.
[77] Katsunori Kitano,et al. Time representing cortical activities: two models inspired by prefrontal persistent activity , 2003, Biological Cybernetics.
[78] Louis Renoult,et al. Time is a rubberband: neuronal activity in monkey motor cortex in relation to time estimation , 2006, The European journal of neuroscience.
[79] J. Staddon,et al. Time and memory: towards a pacemaker-free theory of interval timing. , 1999, Journal of the experimental analysis of behavior.
[80] D. Sherrington. Stochastic Processes in Physics and Chemistry , 1983 .
[81] William Feller,et al. An Introduction to Probability Theory and Its Applications , 1967 .
[82] Charles J. Wilson,et al. Spontaneous subthreshold membrane potential fluctuations and action potential variability of rat corticostriatal and striatal neurons in vivo. , 1997, Journal of neurophysiology.