Thomas J. Anastasio

Publication Activity (10 Years)

Years Active: 1989-2016
Publications (10 Years): 2

Top Topics

Query Formulation

Web Search Engines

Simulated Annealing

Search Efficiency

Top Venues

Frontiers Comput. Neurosci.

Logic, Rewriting, and Concurrency

Publications

Shayan Tabe-Bordbar, Thomas J. Anastasio
Computational Analysis of the Hypothalamic Control of Food Intake. Frontiers Comput. Neurosci. 10 (2016)
Thomas J. Anastasio
Computer Modeling in Neuroscience: From Imperative to Declarative Programming - Maude Modeling in Neuroscience. Logic, Rewriting, and Concurrency (2015)
Thomas J. Anastasio
Computational search for hypotheses concerning the endocannabinoid contribution to the extinction of fear conditioning. Frontiers Comput. Neurosci. 7 (2013)
Yash P. Gad, Thomas J. Anastasio
Simulating the shaping of the fastigial deep nuclear saccade command by cerebellar Purkinje cells. Neural Networks 23 (7) (2010)
Fredrick H. Rothganger, Thomas J. Anastasio
Using input minimization to train a cerebellar model to simulate regulation of smooth pursuit. Biol. Cybern. 101 (5-6) (2009)
Andrea K. Barreiro, Jared C. Bronski, Thomas J. Anastasio
Bifurcation theory explains waveform variability in a congenital eye movement disorder. J. Comput. Neurosci. 26 (2) (2009)
Maxim Raginsky, Thomas J. Anastasio
Cooperation in self-organizing map networks enhances information transmission in the presence of input background activity. Biol. Cybern. 98 (3) (2008)
Thomas J. Anastasio, Yash P. Gad
Sparse cerebellar innervation can morph the dynamics of a model oculomotor neural integrator. J. Comput. Neurosci. 22 (3) (2007)
Paul E. Patton, Thomas J. Anastasio
Modeling Cross-Modal Enhancement and Modality-Specific Suppression in Multisensory Neurons. Neural Comput. 15 (4) (2003)
Thomas J. Anastasio
A pattern correlation model of vestibulo-ocular reflex habituation. Neural Networks 14 (1) (2001)
Thomas J. Anastasio, Paul E. Patton, Kamel Belkacem-Boussaid
Using Bayes' Rule to Model Multisensory Enhancement in the Superior Colliculus. Neural Comput. 12 (5) (2000)
Ernst R. Dow, Thomas J. Anastasio
Analysis and Modeling of Frequency-Specific Habituation of the Goldfish Vestibulo-Ocular Reflex. J. Comput. Neurosci. 7 (1) (1999)
Ernst R. Dow, Thomas J. Anastasio
Analysis and Neural Network Modeling of the Nonlinear Correlates of Habituation in the Vestibulo-ocular Reflex. J. Comput. Neurosci. 5 (2) (1998)
Hao Pan, Zhi-Pei Liang, Thomas J. Anastasio, Thomas S. Huang
A Hybrid NN-Bayesian Architecture for Information Fusion. ICIP (1) (1998)
Thomas J. Anastasio
Nonuniformity in the linear network model of the oculomotor integrator produces approximately fractional-order dynamics and more realistic neuron behavior. Biol. Cybern. 79 (5) (1998)
Thomas J. Anastasio
Symmetry and Self-Organization of the Oculo-Motor Neural Integrator. IWANN (1997)
Thomas J. Anastasio
A burst-feedback model of fast-phase burst generation during nystagmus. Biol. Cybern. 76 (2) (1997)
Ernst R. Dow, Thomas J. Anastasio
Instabilities in Eye Movement Control: A Model of Periodic Alternating Nystagmus. NIPS (1997)
Thomas J. Anastasio
A random walk model of fast-phase timing during optokinetic nystagmus. Biol. Cybern. 75 (1) (1996)
Thomas J. Anastasio
The fractional-order dynamics of brainstem vestibulo-oculomotor neurons. Biol. Cybern. 72 (1) (1994)
Thomas J. Anastasio, M. J. Correia
"Velocity leakage" in the pigeon vestibulo-ocular reflex. Biol. Cybern. 70 (3) (1994)
Thomas J. Anastasio
Testable predictions from recurrent backpropagation models of the vestibulo-ocular reflex. Neurocomputing 6 (2) (1994)
Thomas J. Anastasio
Simulating vestibular compensation using recurrent back-propagation. Biol. Cybern. 66 (5) (1992)
Thomas J. Anastasio
Learning in the Vestibular System: Simulations of Vestibular Compensation Using Recurrent Back-Propagation. NIPS (1991)
Thomas J. Anastasio
A Recurrent Neural Network Model of Velocity Storage in the Vestibulo-Ocular Reflex. NIPS (1990)
Thomas J. Anastasio, David A. Robinson
Distributed Parallel Processing in the Vestibulo-Oculomotor System. Neural Comput. 1 (2) (1989)