Y. Loewenstein

发表

Operant Matching as a Nash Equilibrium of an Intertemporal Game

H. Sebastian Seung, Drazen Prelec, Yonatan Loewenstein, 2009, Neural Computation.

Inhibitory connectivity defines the realm of excitatory plasticity

G. Mongillo, Y. Loewenstein, S. Rumpel, 2018, Nature Neuroscience.

Bistability of cerebellar Purkinje cells modulated by sensory stimulation

H. Sompolinsky, M. Häusser, S. Mahon, 2005, Nature Neuroscience.

Multiplicative Dynamics Underlie the Emergence of the Log-Normal Distribution of Spine Sizes in the Neocortex In Vivo

Y. Loewenstein, S. Rumpel, A. Kuras, 2011, The Journal of Neuroscience.

Temporal integration by calcium dynamics in a model neuron

H. Sompolinsky, Y. Loewenstein, 2003, Nature Neuroscience.

Alternative Sites of Synaptic Plasticity in Two Homologous “Fan-out Fan-in” Learning and Memory Networks

Yonatan Loewenstein, Binyamin Hochner, Graziano Fiorito, 2011, Current Biology.

Oscillations by symmetry breaking in homogeneous networks with electrical coupling.

Haim Sompolinsky, Yonatan Loewenstein, H. Sompolinsky, 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

The role of first impression in operant learning.

Y. Loewenstein, H. Shteingart, T. Neiman, 2013, Journal of experimental psychology. General.

The processing of polar quantifiers, and numerosity perception

Yosef Grodzinsky, Isabelle Deschamps, Galit Agmon, 2015, Cognition.

Title : A computational model of implicit memory captures dyslexi cs ’ perceptual deficits

M. Ahissar, Y. Loewenstein, Nori Jacoby, 2015 .

A Computational Model of Implicit Memory Captures Dyslexics' Perceptual Deficits

M. Ahissar, Y. Loewenstein, Nori Jacoby, 2015, The Journal of Neuroscience.

Bayesian Inference Underlies the Contraction Bias in Delayed Comparison Tasks

Y. Loewenstein, Paymon Ashourian, 2011, PloS one.

Frontiers in Computational Neuroscience

Y. Loewenstein, 2022 .

Complex Population Response of Dorsal Putamen Neurons Predicts the Ability to Learn

Y. Loewenstein, T. Boraud, Camille Piron, 2013, PloS one.

Striatal action-value neurons reconsidered

Y. Loewenstein, Lotem Elber-Dorozko, 2017, bioRxiv.

Striatal action-value neurons reconsidered

Y. Loewenstein, Lotem Elber-Dorozko, 2017, bioRxiv.

Intrinsic volatility of synaptic connections — a challenge to the synaptic trace theory of memory

G. Mongillo, Y. Loewenstein, S. Rumpel, 2017, Current Opinion in Neurobiology.

Distinct Sources of Deterministic and Stochastic Components of Action Timing Decisions in Rodent Frontal Cortex

Z. Mainen, Y. Loewenstein, M. Murakami, 2016, Neuron.

Learning reward timing in cortex through reward dependent expression of synaptic plasticity

Yonatan Loewenstein, Jeffrey P. Gavornik, Jeffrey P Gavornik, 2009, Proceedings of the National Academy of Sciences.

Reinforcement learning in professional basketball players

Y. Loewenstein, T. Neiman, 2011, Nature communications.

Erratum: Reinforcement learning in professional basketball players

Y. Loewenstein, T. Neiman, 2013, Nature Communications.

Predicting the Dynamics of Network Connectivity in the Neocortex

Yonatan Loewenstein, Simon Rumpel, Y. Loewenstein, 2015, The Journal of Neuroscience.

Idiosyncratic choice bias naturally emerges from intrinsic stochasticity in neuronal dynamics

D. Hansel, Y. Loewenstein, R. Darshan, 2019, Nature Human Behaviour.

Stability of excitatory structural connectivity predicts the probability of CA1 pyramidal neurons to become engram neurons

Y. Loewenstein, Alon Chen, Alessio Attardo, 2019, bioRxiv.

Measuring the cognitive cost of downward monotonicity by controlling for negative polarity

Y. Loewenstein, Y. Grodzinsky, Galit Agmon, 2019 .

Zero-Episode Few-Shot Contrastive Predictive Coding: Solving intelligence tests without prior training

Y. Loewenstein, T. Barak, 2022, ArXiv.

The ‘creatures’ of the human cortical somatosensory system

Y. Loewenstein, S. Arzy, N. Saadon-Grosman, 2020, Brain communications.

The “creatures” of the human cortical somatosensory system

Y. Loewenstein, S. Arzy, N. Saadon-Grosman, 2019, bioRxiv.

between reward and neural activity Operant matching is a generic outcome of synaptic plasticity based on the covariance

H. Seung, Y. Loewenstein, 2006 .

Naive Few-Shot Learning: Sequence Consistency Evaluation

Y. Loewenstein, T. Barak, 2022, ArXiv.

Exploration: from machines to humans

Yonatan Loewenstein, Ohad Dan, Lior Fox, 2020, Current Opinion in Behavioral Sciences.

The Misbehavior of Reinforcement Learning

Yonatan Loewenstein, Gianluigi Mongillo, Hanan Shteingart, 2014, Proceedings of the IEEE.

The Misbehavior of Reinforcement Learning In this paper, the authors compare two separate approaches to operant learning in terms of computational power and flexibility, putative neural correlates, and the ability to account for human behavior as observed in repeated-choice experiments.

G. Mongillo, Y. Loewenstein, H. Shteingart, 2014 .

The Beat Goes On: Spontaneous Firing in Mammalian Neuronal Microcircuits

Ivan Cohen, Yonatan Loewenstein, Michael Häusser, 2004, The Journal of Neuroscience.

Hierarchical cortical gradients in somatosensory processing

Yonatan Loewenstein, Shahar Arzy, Noam Saadon-Grosman, 2020, NeuroImage.

Sex-specific declines in cholinergic-targeting tRNA fragments in the nucleus accumbens in Alzheimer’s disease

Y. Loewenstein, E. Mufson, S. Seshadri, 2023, bioRxiv.

Stochasticity, Bistability and the Wisdom of Crowds: A Model for Associative Learning in Genetic Regulatory Networks

Yonatan Loewenstein, Matan Sorek, Nathalie Q. Balaban, 2013, PLoS Comput. Biol..

Hippocampal neurons with stable excitatory connectivity become part of neuronal representations

Y. Loewenstein, Alon Chen, Alessio Attardo, 2020, PLoS biology.

Paradoxical relationship between speed and accuracy in olfactory figure-background segregation

Y. Loewenstein, D. Rokni, Lior Lebovich, 2021, bioRxiv.

Idiosyncratic choice bias naturally emerges from intrinsic stochasticity in neuronal dynamics

D. Hansel, Y. Loewenstein, R. Darshan, 2019, Nature Human Behaviour.

Idiosyncratic choice bias in decision tasks naturally emerges from neuronal network dynamics

Yonatan Loewenstein, David Hansel, Ran Darshan, 2018, bioRxiv.

Contradictory Behavioral Biases Result from the Influence of Past Stimuli on Perception

Merav Ahissar, Yonatan Loewenstein, Ofri Raviv, 2014, PLoS Comput. Biol..

Heterogeneous Suppression of Sequential Effects in Random Sequence Generation, but Not in Operant Learning

Y. Loewenstein, H. Shteingart, 2016, PloS one.

Operant matching is a generic outcome of synaptic plasticity based on the covariance between reward and neural activity

Yonatan Loewenstein, H Sebastian Seung, H. Seung, 2006, Proceedings of the National Academy of Sciences.

DORA The Explorer: Directed Outreaching Reinforcement Action-Selection pdf

Yonatan Loewenstein, Leshem Choshen, Lior Fox, 2018, ICLR.

Covariance-Based Synaptic Plasticity in an Attractor Network Model Accounts for Fast Adaptation in Free Operant Learning

Y. Loewenstein, T. Neiman, 2013, The Journal of Neuroscience.

Robustness of Learning That Is Based on Covariance-Driven Synaptic Plasticity

Yonatan Loewenstein, Y. Loewenstein, 2008, PLoS Comput. Biol..

Logical negation mapped onto the brain

Katrin Amunts, Yosef Grodzinsky, Isabelle Deschamps, 2019, Brain Structure and Function.

Naive Few-Shot Learning: Uncovering the fluid intelligence of machines

Y. Loewenstein, T. Barak, 2022, 2205.12013.

The generation of oscillations in networks of electrically coupled cells

H Sompolinsky, H. Sompolinsky, Y. Loewenstein, 2001, Proceedings of the National Academy of Sciences of the United States of America.

How Recent History Affects Perception: The Normative Approach and Its Heuristic Approximation

Merav Ahissar, Yonatan Loewenstein, Ofri Raviv, 2012, PLoS Comput. Biol..

Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales

W. Newsome, Stefano Fusi, L. Sugrue, 2019, Nature Communications.

Towards a computational model of Dyslexia

M. Ahissar, Y. Loewenstein, Nori Jacoby, 2015, BMC Neuroscience.

Naive Few-Shot Learning: Sequence Consistency Evaluation

Y. Loewenstein, T. Barak, 2022, ArXiv.

The Accounting Review

Y. Loewenstein, 1972 .

Experienced entropy drives choice behavior in a boring decision-making task

Y. Loewenstein, S. Rumpel, O. Tüscher, 2022, Scientific Reports.

Reinforcement learning and human behavior

Y. Loewenstein, H. Shteingart, 2014, Current Opinion in Neurobiology.

Homeostasis of a representational map in the neocortex

M. Kaschube, Y. Loewenstein, S. Rumpel, 2023, bioRxiv.

Features Of Hippocampal Astrocytic Domains And Their Spatial Relation To Excitatory And Inhibitory Neurons

I. Goshen, Y. Loewenstein, T. Kreisel, 2020, bioRxiv.

The Effect of Sample Size and Cognitive Strategy on Probability Estimation Bias

Yonatan Loewenstein, Hanan Shteingart, Y. Loewenstein, 2015 .

Subregion-specific rules govern the distribution of neuronal immediate-early gene induction

Y. Loewenstein, A. Citri, B. Gonzales, 2019, Proceedings of the National Academy of Sciences.

Dissecting the Roles of Supervised and Unsupervised Learning in Perceptual Discrimination Judgments

M. Ahissar, Y. Loewenstein, Ofri Raviv, 2020, The Journal of Neuroscience.

A Computational Model of Dyslexics' Perceptual Difficulties as Impaired Inference of Sound Statistics

Sagi Jaffe-Dax, Merav Ahissar, Yonatan Loewenstein, 2017 .

Sex-specific declines in cholinergic-targeting tRNA fragments in the nucleus accumbens in Alzheimer’s disease

Y. Loewenstein, E. Mufson, S. Seshadri, 2023, bioRxiv.

Learning fast and slow: deviations from the matching law can reflect an optimal strategy under uncertainty

William T. Newsome, Yonatan Loewenstein, Stefano Fusi, 2017, bioRxiv.

Bayesian inference underlies contraction bias

Yonatan Loewenstein, Paymon Hosseini, Y. Loewenstein, 2007 .

From choice architecture to choice engineering

Y. Loewenstein, Ohad Dan, 2019, Nature Communications.

Spatial Generalization in Operant Learning: Lessons from Professional Basketball

Yonatan Loewenstein, Tal Neiman, Y. Loewenstein, 2014, PLoS Comput. Biol..

From choice architecture to choice engineering

Yonatan Loewenstein, Ohad Dan, Y. Loewenstein, 2019, Nature Communications.

Distinct Sources of Deterministic and Stochastic Components of Action Timing Decisions in Rodent Frontal Cortex

Z. Mainen, Y. Loewenstein, M. Murakami, 2016, Neuron.

Purkinje cells in awake behaving animals operate at the upstate membrane potential

H. Sompolinsky, M. Häusser, Y. Loewenstein, 2006, Nature Neuroscience.

Synaptic Theory of Replicator-Like Melioration

Yonatan Loewenstein, Y. Loewenstein, 2010, Front. Comput. Neurosci..

How Recent History Affects Perception: The Normative Approach and Its Heuristic Approximation

M. Ahissar, Y. Loewenstein, Ofri Raviv, 2012, PLoS Comput. Biol..

Predicting the Dynamics of Network Connectivity in the Neocortex

Y. Loewenstein, S. Rumpel, Uri Yanover, 2015, The Journal of Neuroscience.

The Olivo-Cerebellar System : Dynamical Processes and Computational Principles

H. Sompolinsky, Y. Loewenstein, Y. Yarom, 2003 .

Heterogeneous Suppression of Sequential Effects in Random Sequence Generation, but Not in Operant Learning

Y. Loewenstein, H. Shteingart, 2016, PloS one.

Neuroscience: Formation of a Percept in the Rat Cortex

G. Mongillo, Y. Loewenstein, 2017, Current Biology.

Neuroscience : Formationof aPercept in theRatCortex

G. Mongillo, Y. Loewenstein, 2017 .