Dean Buonomano
American neuroscientist, psychologist and author
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Why Is Dean Buonomano Influential?
(Suggest an Edit or Addition)According to Wikipedia, Dean Vincent Buonomano is an American neuroscientist and author. He is a professor at UCLA whose research focuses on neurocomputation and how the brain tells time. Buonomano has been described as one of the "first neuroscientists to begin to ask how the human brain encodes time" and has been published in various scientific journals. He is the author of two books, Brain Bugs: How the Brain's Flaws Shape our Lives and Your Brain is a Time Machine: The Neuroscience and Physics of Time. Buonomano's first book Brain Bugs examines the human brain's functional strengths and weaknesses, ultimately attributing some of the brain's 'bugs' to evolution.
Dean Buonomano's Published Works
Published Works
- Cortical plasticity: from synapses to maps. (1998) (2080)
- The neural basis of temporal processing. (2004) (862)
- State-dependent computations: spatiotemporal processing in cortical networks (2009) (762)
- Timing in the Absence of Clocks: Encoding Time in Neural Network States (2007) (497)
- Decoding Temporal Information: A Model Based on Short-Term Synaptic Plasticity (2000) (327)
- ROBUST TIMING AND MOTOR PATTERNS BY TAMING CHAOS IN RECURRENT NEURAL NETWORKS (2013) (314)
- Neural Network Model of the Cerebellum: Temporal Discrimination and the Timing of Motor Responses (1999) (297)
- Learning and Generalization of Auditory Temporal–Interval Discrimination in Humans (1997) (253)
- The Neural Basis of Timing: Distributed Mechanisms for Diverse Functions (2018) (224)
- Distortions of Subjective Time Perception Within and Across Senses (2008) (194)
- A model of spike-timing dependent plasticity: one or two coincidence detectors? (2002) (187)
- Time and the Brain: How Subjective Time Relates to Neural Time (2005) (181)
- Population clocks: motor timing with neural dynamics (2010) (161)
- Temporal specificity of perceptual learning in an auditory discrimination task. (2003) (134)
- Book Review: How Do We Tell Time? (2002) (116)
- The biology of time across different scales. (2007) (113)
- Different forms of homeostatic plasticity are engaged with distinct temporal profiles (2006) (100)
- Differential Effects of Excitatory and Inhibitory Plasticity on Synaptically Driven Neuronal Input-Output Functions (2009) (98)
- Neural and Molecular Bases of Nonassociative and Associative Learning in Aplysia a (1991) (91)
- Embedding Multiple Trajectories in Simulated Recurrent Neural Networks in a Self-Organizing Manner (2009) (91)
- Timing as an intrinsic property of neural networks: evidence from in vivo and in vitro experiments (2014) (89)
- Timing of neural responses in cortical organotypic slices (2003) (87)
- Net interaction between different forms of short-term synaptic plasticity and slow-IPSPs in the hippocampus and auditory cortex. (1998) (83)
- Influence of the interstimulus interval on temporal processing and learning: testing the state-dependent network model (2009) (82)
- A learning rule for the emergence of stable dynamics and timing in recurrent networks. (2005) (80)
- Neural dynamics of in vitro cortical networks reflects experienced temporal patterns (2010) (76)
- Long-term synaptic changes produced by a cellular analog of classical conditioning in Aplysia. (1990) (74)
- Mechanisms and significance of spike-timing dependent plasticity (2002) (70)
- Time in Cortical Circuits (2015) (68)
- Development and Plasticity of Spontaneous Activity and Up States in Cortical Organotypic Slices (2007) (65)
- Differential Encoding of Time by Prefrontal and Striatal Network Dynamics (2017) (60)
- Distinct Functional Types of Associative Long-Term Potentiation in Neocortical and Hippocampal Pyramidal Neurons (1999) (59)
- Differential encoding of time by prefrontal and striatal network dynamics. (2016) (59)
- Timing and Balance of Inhibition Enhance the Effect of Long-Term Potentiation on Cell Firing (2004) (58)
- Encoding sensory and motor patterns as time-invariant trajectories in recurrent neural networks (2017) (58)
- Differential Effects of Short- and Long-Term Potentiation on Cell Firing in the CA1 Region of the Hippocampus (2003) (54)
- A Neural Network Model of Temporal Code Generation and Position-Invariant Pattern Recognition (1999) (53)
- Neural Sequences as an Optimal Dynamical Regime for the Readout of Time (2020) (45)
- Neurocomputational models of interval and pattern timing (2016) (45)
- Small networks of empirically derived adaptive elements simulate some higher-order features of classical conditioning (1990) (41)
- Context-sensitive synaptic plasticity and temporal-to-spatial transformations in hippocampal slices. (1997) (40)
- Temporal Interval Learning in Cortical Cultures Is Encoded in Intrinsic Network Dynamics (2016) (36)
- A Novel Learning Rule for Long-Term Plasticity of Short-Term Synaptic Plasticity Enhances Temporal Processing (2011) (36)
- Short-Term Synaptic Plasticity as a Mechanism for Sensory Timing (2018) (33)
- Temporal Perceptual Learning (2014) (33)
- Encoding Time in Feedforward Trajectories of a Recurrent Neural Network Model (2018) (32)
- A model of temporal scaling correctly predicts that motor timing improves with speed (2018) (30)
- Learning of Temporal Motor Patterns: An Analysis of Continuous Versus Reset Timing (2011) (29)
- A learning rule based on empirically-derived activity-dependent neuromodulation supports operant conditioning in a small network (1992) (27)
- Inhibitory neuron produces heterosynaptic inhibition of the sensory-to-motor neuron synapse inAplysia (1992) (26)
- A model of order-selectivity based on dynamic changes in the balance of excitation and inhibition produced by short-term synaptic plasticity. (2015) (20)
- Neural dynamics based timing in the subsecond to seconds range. (2014) (20)
- Associative synaptic plasticity in hippocampal CA1 neurons is not sensitive to unpaired presynaptic activity. (1996) (19)
- A technique for repeated recordings in cortical organotypic slices (2005) (19)
- Neuronal and network determinants of simple and higher-order features of associative learning: experimental and modeling approaches. (1990) (15)
- Chronic electrical stimulation homeostatically decreases spontaneous activity, but paradoxically increases evoked network activity. (2013) (15)
- Unsupervised Formation of Vocalization-Sensitive Neurons: A Cortical Model Based on Short-Term and Homeostatic Plasticity (2012) (15)
- Harnessing Chaos in Recurrent Neural Networks (2009) (13)
- Differential Short-Term Plasticity of PV and SST Neurons Accounts for Adaptation and Facilitation of Cortical Neurons to Auditory Tones (2020) (13)
- Encoding time in neural dynamic regimes with distinct computational tradeoffs (2021) (10)
- Delayed in vitro development of Up states but normal network plasticity in Fragile X circuits (2015) (10)
- Useful dynamic regimes emerge in recurrent networks (2014) (9)
- Developmental shift of short-term synaptic plasticity in cortical organotypic slices (2012) (9)
- A method for chronic stimulation of cortical organotypic cultures using implanted electrodes (2009) (9)
- Bridging the neuroscience and physics of time (2021) (7)
- Decreased reproducibility and abnormal experience-dependent plasticity of network dynamics in Fragile X circuits (2020) (6)
- Empirically derived adaptive elements and networks simulate associative learning (1991) (6)
- Multifocal fluorescence microscope for fast optical recordings of neuronal action potentials. (2015) (5)
- Utilizing the Cortico-Striatal Projectome to Advance the Study of Timing and Time Perception (2016) (5)
- Population Clocks: Motor Timing with Neural Dynamics**Reprinted from Trends in Cognitive Sciences, Vol 14, Dean V. Buonomano, Rodrigo Laje, Population Clocks: motor timing with neural dynamics, pg 520–527, 2010, with permission from Elsevier. (2011) (5)
- A Model of Temporal Scaling Correctly Predicts that Weber’s Law is Speed-dependent (2017) (5)
- Spike-Timing-Dependent Plasticity (STDP) (2009) (4)
- Cortical Plasticity and Learning: Mechanisms and Models (2009) (3)
- Chapter 7 - Temporal Information Processing: A Computational Role for Paired-Pulse Facilitation and Slow Inhibition (1997) (3)
- Neural Coding: Time Contraction and Dilation in the Striatum (2015) (3)
- The Orbitofrontal Cortex in Temporal Cognition (2020) (3)
- Creation of Neuronal Ensembles and Cell-Specific Homeostatic Plasticity through Chronic Sparse Optogenetic Stimulation (2022) (2)
- Author response: Encoding sensory and motor patterns as time-invariant trajectories in recurrent neural networks (2018) (2)
- Musical expertise generalizes to superior temporal scaling in a Morse code tapping task (2019) (2)
- Differential Excitability of PV and SST Neurons Results in Distinct Functional Roles in Inhibition Stabilization of Up States (2020) (2)
- Neural population clocks: Encoding time in dynamic patterns of neural activity. (2022) (2)
- Acknowledgment of Guest Editors, 2019 (2019) (1)
- Orchestrated Excitatory and Inhibitory Learning Rules Lead to the Unsupervised Emergence of Self-sustained and Inhibition-stabilized Dynamics (2021) (1)
- Improvement of sensory deficits in Fragile X mice by increasing cortical interneuron activity after the critical period (2022) (1)
- Reviewer list for 2009 (2009) (0)
- Neural analogs of associative learning in {\it Aplysia\/}: Experimental and theoretical approaches (1991) (0)
- Reviewer List for 2007 (2007) (0)
- Paradoxical self-sustained dynamics emerge from orchestrated excitatory and inhibitory homeostatic plasticity rules (2022) (0)
- Multiplexing working memory and time: encoding retrospective and prospective information in neural trajectories (2022) (0)
- Books in brief (2011) (0)
- Figures and figure supplements Encoding sensory and motor patterns as time-invariant trajectories in recurrent neural networks (2018) (0)
- A Recurrent Neural Network Model Accounts for Both Timing and Working Memory Components of an Interval Discrimination Task (2022) (0)
- A model of temporal scaling correctly predicts that motor timing improves with speed (2018) (0)
- Multiplexing working memory and time in the trajectories of neural networks. (2023) (0)
- LTP of EPSPs is sufficient for EPSP - spike potentiation theoretical and experimental analyses (2003) (0)
- Rin Monkey Auditory Cortical Fields A1 and Stimulus-Sequence and Task-Dependent Neuronal Early Stages of Melody Processing: (2015) (0)
- Neuroscience: Brain projects need stronger foundation (2013) (0)
- Unified control of temporal and spatial scales of sensorimotor behavior through neuromodulation of short-term synaptic plasticity (2022) (0)
- Balanced changes in Excitation and Inhibition modify the gain, while preserving the threshold, of neuronal I/O functions (2008) (0)
- Response to letter by Gaudiano et al (1994) (0)
- A Neural Network Modell of Temporal Code Generation and Position Invariant Pattern Recognition (1999) (0)
- Cortex: Response Enhancement Processing of Sound Sequences in Macaque Auditory (2015) (0)
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What Schools Are Affiliated With Dean Buonomano?
Dean Buonomano is affiliated with the following schools: