12&.. O•ITN-UW, IAVAILAINY STATIEMINT '121 oTI0mmUTM cmo' Approved for public release; distribution unlimited. IL A...PA. (MAtmvmuLwmJ W Our primary experimental approach has been to record from single neurons in awake, behaving animals in order to determine the loci of neurons with condi-tioning-related activity and to quantitate the relationship. of this activity to the expression of the conditioned response. Our theoretical approach has been to extend simple computational models of connectionist learning into physiologically plausible neural networks that describe real-time features of conditioned behavior. These network models, and their possible implementations in the brain, suggest experimental tests and provide directio...
My work contributes to three related goals in neuroscience: to understand the relationship between p...
With the increasing acquisition of large-scale neural recordings comes the challenge of inferring th...
A central problem in cognitive neuroscience is how animals can manage to rapidly master complex sens...
Abstract: Understanding the rules by which brain networks represent incoming stimuli in population a...
Neural Networks may be made much faster and more efficient by reducing the amount of memory and comp...
Experimental methods in neuroscience, such as calcium-imaging and recordings with multi-electrode ar...
Biological neurons that show a locally tuned response to input may arise from the network topology o...
Selective information processing in neural networks is studied through computer simulations of Pavlo...
Thesis (Ph.D.)--University of Washington, 2022All human and animal behavior from seeing, hearing, ru...
Learning and representing and reasoning about temporal relations, particularly causal relations, is ...
Neurons and the synaptic connections between them underlie the computational power of the brain. We ...
Present neural models of classical conditioning all suffer from the same shortcoming: local represen...
(A) Behavior of output neurons (MBONs) during first-order conditioning. During training, a CS+ (blue...
AbstractThe striatum of the basal ganglia is considered a key structure in the learning circuitry of...
This paper investigates the possible role of neuroanatomical features in Pavlovian conditioning, via...
My work contributes to three related goals in neuroscience: to understand the relationship between p...
With the increasing acquisition of large-scale neural recordings comes the challenge of inferring th...
A central problem in cognitive neuroscience is how animals can manage to rapidly master complex sens...
Abstract: Understanding the rules by which brain networks represent incoming stimuli in population a...
Neural Networks may be made much faster and more efficient by reducing the amount of memory and comp...
Experimental methods in neuroscience, such as calcium-imaging and recordings with multi-electrode ar...
Biological neurons that show a locally tuned response to input may arise from the network topology o...
Selective information processing in neural networks is studied through computer simulations of Pavlo...
Thesis (Ph.D.)--University of Washington, 2022All human and animal behavior from seeing, hearing, ru...
Learning and representing and reasoning about temporal relations, particularly causal relations, is ...
Neurons and the synaptic connections between them underlie the computational power of the brain. We ...
Present neural models of classical conditioning all suffer from the same shortcoming: local represen...
(A) Behavior of output neurons (MBONs) during first-order conditioning. During training, a CS+ (blue...
AbstractThe striatum of the basal ganglia is considered a key structure in the learning circuitry of...
This paper investigates the possible role of neuroanatomical features in Pavlovian conditioning, via...
My work contributes to three related goals in neuroscience: to understand the relationship between p...
With the increasing acquisition of large-scale neural recordings comes the challenge of inferring th...
A central problem in cognitive neuroscience is how animals can manage to rapidly master complex sens...