Terrence J. Sejnowski American neuroscientist
Sejnowski, Terrence J.
Sejnowski, Terrence Joseph
Sejnowski, Terrence J. (Terrence Joseph)
Sejnowski, Terrence Joseph, 19..-....
![Sudoc [ABES], France](/viaf/images/flags/SUDOC.png "Sudoc [ABES], France")
Sejnowski, Terrence J. 1947-
Sejnowski, Terrence Joseph 1947-
Sejnowski, Terrence
VIAF ID: 2540279 (Personal)
Permalink: http://viaf.org/viaf/2540279
Preferred Forms
-
200 _ |
‡a
Sejnowski
‡b
Terrence Joseph
-
200 _ 1 ‡a Sejnowski ‡b Terrence Joseph ‡f 1947-
-
100 1 _ ‡a Sejnowski, Terrence
-
100 1 _ ‡a Sejnowski, Terrence J.
-
100 1 _ ‡a Sejnowski, Terrence J.
-
100 1 _
‡a
Sejnowski, Terrence J.
-
100 1 _ ‡a Sejnowski, Terrence J.
-
100 1 _
‡a
Sejnowski, Terrence J.
‡d
1947-
-
100 1 _
‡a
Sejnowski, Terrence J.
‡q
(Terrence Joseph)
-
100 1 _ ‡a Sejnowski, Terrence J. ‡q (Terrence Joseph)
-
100 1 _
‡a
Sejnowski, Terrence J.
‡q
(Terrence Joseph)
(sparse)
-
100 1 _ ‡a Sejnowski, Terrence J. ‡q (Terrence Joseph)
-
100 1 _ ‡a Sejnowski, Terrence Joseph
-
100 1 _ ‡a Sejnowski, Terrence Joseph
-
100 1 _ ‡a Sejnowski, Terrence Joseph
-
100 1 _
‡a
Sejnowski, Terrence Joseph,
‡d
19..-....
-
100 0 _
‡a
Terrence J. Sejnowski
‡c
American neuroscientist
4xx's: Alternate Name Forms (20)
5xx's: Related Names (5)
- 510 2 _
‡a
Howard Hughes Medical Institute
- 510 2 _
‡a
Howard Hughes Medical Institute
‡g
Coconut Grove, Fla.
‡e
Affiliation
- 510 2 _
‡a
Princeton
- 510 2 _
‡a
Salk Institute for Biological Studies
- 510 2 _
‡a
Salk Institute for Biological Studies
‡g
San Diego, Calif.
‡e
Affiliation
Works
| Title | Sources |
|---|---|
| 23 problems in systems neuroscience |
|
| Boltzmann machines, 1984 |
|
| Cognition |
|
| Computational brain |
|
| Connectionist Models Summer School (1988 : Carnegie Mellon University). Proceedings of the 1988 Connectionist ... 1988: |
|
| Deep learning revolution |
|
| The distributionist position in connectionism : on representation and learning |
|
| In the spirit of science : lectures by Sydney Brenner on DNA, worms and brains |
|
| Kiedy sztuczna inteligencja spotyka się z ludzką |
|
| Learning How to Learn : How to Succeed in School Without Spending All Your Time Studying |
|
| Liars, lovers, and heroes what the new brain science reveals about how we become who we are |
|
| Paradoxical effects of external modulation of inhibitory interneurons. |
|
| Pathological effect of homeostatic synaptic scaling on network dynamics in diseases of the cortex. |
|
| Pattern of trauma determines the threshold for epileptic activity in a model of cortical deafferentation. |
|
| Peptidergic synaptic transmission in sympathetic ganglia. |
|
| Perceptual priming leads to reduction of gamma frequency oscillations |
|
| Place cell rate remapping by CA3 recurrent collaterals. |
|
| The Population Tracking Model: A Simple, Scalable Statistical Model for Neural Population Data. |
|
| Potassium dynamics in the epileptic cortex: new insights on an old topic. |
|
| Precision of pulse-coupled networks of integrate-and-fire neurons. |
|
| Precision of the pacemaker nucleus in a weakly electric fish: network versus cellular influences. |
|
| Predicting responses of nonlinear neurons in monkey striate cortex to complex patterns. |
|
| The predictive brain: temporal coincidence and temporal order in synaptic learning mechanisms. |
|
| Predictive learning of temporal sequences in recurrent neocortical circuits. |
|
| Probabilistic reversal learning is impaired in Parkinson's disease. |
|
| Proceedings of the Fifth International Workshop on Advances in Electrocorticography |
|
| Prolonged Ketamine Effects in Sp4 Hypomorphic Mice: Mimicking Phenotypes of Schizophrenia. |
|
| Putting big data to good use in neuroscience |
|
| Pyramidal neurons switch from integrators in vitro to resonators under in vivo-like conditions |
|
| Reduction of anion reversal potential subverts the inhibitory control of firing rate in spinal lamina I neurons: towards a biophysical basis for neuropathic pain. |
|
| Regulating Cortical Oscillations in an Inhibition-Stabilized Network. |
|
| Regulation of persistent activity by background inhibition in an in vitro model of a cortical microcircuit. |
|
| Relation between retinotopical and orientation maps in visual cortex. |
|
| Reliability and bifurcation in neurons driven by multiple sinusoids |
|
| Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects. |
|
| Representation sharpening can explain perceptual priming. |
|
| Response from Martin McKeown, Makeig, Brown, Jung, Kindermann, Bell and Sejnowski. |
|
| Selectivity and sparseness in the responses of striate complex cells. |
|
| Self-organizing neural systems based on predictive learning. |
|
| Self-sustained rhythmic activity in the thalamic reticular nucleus mediated by depolarizing GABAA receptor potentials. |
|
| Separating figure from ground with a parallel network. |
|
| Short-term synaptic plasticity in the deterministic Tsodyks-Markram model leads to unpredictable network dynamics. |
|
| Simulating human sleep spindle MEG and EEG from ion channel and circuit level dynamics |
|
| Single-cell methylomes identify neuronal subtypes and regulatory elements in mammalian cortex. |
|
| Single-trial variability in event-related BOLD signals. |
|
| Slow state transitions of sustained neural oscillations by activity-dependent modulation of intrinsic excitability |
|
| Spatially independent activity patterns in functional MRI data during the stroop color-naming task. |
|
| Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis. |
|
| Spatiochromatic receptive field properties derived from information-theoretic analyses of cone mosaic responses to natural scenes. |
|
| Spatiotemporal patterns of spindle oscillations in cortex and thalamus. |
|
| Spectrum of power laws for curved hand movements |
|
| Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation. |
|
| Spike count distributions, factorizability, and contextual effects in area V1. |
|
| Spike propagation synchronized by temporally asymmetric Hebbian learning |
|
| Spike-timing-dependent Hebbian plasticity as temporal difference learning. |
|
| Statistical constraints on synaptic plasticity. |
|
| Street View of the Cognitive Map |
|
| Supralinear reliability of cortical spiking from synchronous thalamic inputs. |
|
| Synaptic background noise controls the input/output characteristics of single cells in an in vitro model of in vivo activity. |
|
| Synaptic learning rules and sparse coding in a model sensory system |
|
| Synaptic mechanisms for long-term depression. |
|
| Synchronization as a mechanism for attentional gain modulation. |
|
| Synchronization of isolated downstates |
|
| Synthesis of models for excitable membranes, synaptic transmission and neuromodulation using a common kinetic formalism. |
|
| Temporal processing in the olfactory system: can we see a smell? |
|
| Thalamic burst firing propensity: a comparison of the dorsal lateral geniculate and pulvinar nuclei in the tree shrew |
|
| Thalamocortical assemblies : how ion channels, single neurons, and large-scale networks organize sleep oscillations |
|
| Time-coded neurotransmitter release at excitatory and inhibitory synapses. |
|
| Time series prediction of plasma hormone concentration. Evidence for differences in predictability of parathyroid hormone secretion between osteoporotic patients and normal controls |
|
| Top-down inputs enhance orientation selectivity in neurons of the primary visual cortex during perceptual learning |
|
| Toward brain-computer interfacing |
|
| Understanding the human brain. |
|
| Unsupervised learning foundations of neural computation |
|
| Using machine learning classifiers to identify glaucomatous change earlier in standard visual fields. |
|
| Using unsupervised learning with variational bayesian mixture of factor analysis to identify patterns of glaucomatous visual field defects |
|
| Validation of independent component analysis for rapid spike sorting of optical recording data |
|
| Variability of postsynaptic responses depends non-linearly on the number of synaptic inputs |
|
| Variability of quantal synaptic currents in thalamocortical neurons. |
|
| Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components |
|
| Vernon Mountcastle: Father of neuroscience |
|
| VolRoverN: enhancing surface and volumetric reconstruction for realistic dynamical simulation of cellular and subcellular function. |
|
| When is an inhibitory synapse effective? |
|
| Why do we sleep? |
|
| Worldwide initiatives to advance brain research. |
|
| The year of the dendrite. |
|
