User profiles for Anthony Zador
Anthony ZadorProfessor of Biology, CSHL Verified email at cshl.edu Cited by 16148 |
[HTML][HTML] A critique of pure learning and what artificial neural networks can learn from animal brains
AM Zador - Nature communications, 2019 - nature.com
Artificial neural networks (ANNs) have undergone a revolution, catalyzed by better supervised
learning algorithms. However, in stark contrast to young animals (including humans), …
learning algorithms. However, in stark contrast to young animals (including humans), …
Natural scene statistics at the centre of gaze
P Reinagel, AM Zador - Network: Computation in Neural Systems, 1999 - iopscience.iop.org
Early stages of visual processing may exploit the characteristic structure of natural visual
stimuli. This structure may differ from the intrinsic structure of natural scenes, because sampling …
stimuli. This structure may differ from the intrinsic structure of natural scenes, because sampling …
Balanced inhibition underlies tuning and sharpens spike timing in auditory cortex
Neurons in the primary auditory cortex are tuned to the intensity and specific frequencies of
sounds, but the synaptic mechanisms underlying this tuning remain uncertain. Inhibition …
sounds, but the synaptic mechanisms underlying this tuning remain uncertain. Inhibition …
Selective corticostriatal plasticity during acquisition of an auditory discrimination task
Perceptual decisions are based on the activity of sensory cortical neurons, but how organisms
learn to transform this activity into appropriate actions remains unknown. Projections from …
learn to transform this activity into appropriate actions remains unknown. Projections from …
Input synchrony and the irregular firing of cortical neurons
CF Stevens, AM Zador - Nature neuroscience, 1998 - nature.com
Cortical neurons in the waking brain fire highly irregular, seemingly random, spike trains in
response to constant sensory stimulation, whereas in vitro they fire regularly in response to …
response to constant sensory stimulation, whereas in vitro they fire regularly in response to …
Neural representation and the cortical code
RC Decharms, A Zador - Annual review of neuroscience, 2000 - annualreviews.org
The principle function of the central nervous system is to represent and transform information
and thereby mediate appropriate decisions and behaviors. The cerebral cortex is one of the …
and thereby mediate appropriate decisions and behaviors. The cerebral cortex is one of the …
Postsynaptic receptor trafficking underlying a form of associative learning
To elucidate molecular, cellular, and circuit changes that occur in the brain during learning,
we investigated the role of a glutamate receptor subtype in fear conditioning. In this form of …
we investigated the role of a glutamate receptor subtype in fear conditioning. In this form of …
[HTML][HTML] Catalyzing next-generation artificial intelligence through neuroai
Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We
propose that to accelerate progress in AI, we must invest in fundamental research in NeuroAI…
propose that to accelerate progress in AI, we must invest in fundamental research in NeuroAI…
[HTML][HTML] Sparse representation of sounds in the unanesthetized auditory cortex
T Hromádka, MR DeWeese, AM Zador - PLoS biology, 2008 - journals.plos.org
How do neuronal populations in the auditory cortex represent acoustic stimuli? Although
sound-evoked neural responses in the anesthetized auditory cortex are mainly transient, recent …
sound-evoked neural responses in the anesthetized auditory cortex are mainly transient, recent …
[PDF][PDF] Efficient discrimination of temporal patterns by motion-sensitive neurons in primate visual cortex
Although motion-sensitive neurons in macaque middle temporal (MT) area are conventionally
characterized using stimuli whose velocity remains constant for 1–3 s, many ecologically …
characterized using stimuli whose velocity remains constant for 1–3 s, many ecologically …