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Spiking neuron network Helmholtz machine.

Frontiers in computational neuroscience

Sountsov P, Miller P.
PMID: 25954191
Front Comput Neurosci. 2015 Apr 21;9:46. doi: 10.3389/fncom.2015.00046. eCollection 2015.

An increasing amount of behavioral and neurophysiological data suggests that the brain performs optimal (or near-optimal) probabilistic inference and learning during perception and other tasks. Although many machine learning algorithms exist that perform inference and learning in an optimal...

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Sountsov P, Miller P. Spiking neuron network Helmholtz machine. Front Comput Neurosci. 2015;9:46doi: 10.3389/fncom.2015.00046.
Sountsov, P., & Miller, P. (2015). Spiking neuron network Helmholtz machine. Frontiers in computational neuroscience, 946. https://doi.org/10.3389/fncom.2015.00046
Sountsov, Pavel, and Miller, Paul. "Spiking neuron network Helmholtz machine." Frontiers in computational neuroscience vol. 9 (2015): 46. doi: https://doi.org/10.3389/fncom.2015.00046
Sountsov P, Miller P. Spiking neuron network Helmholtz machine. Front Comput Neurosci. 2015 Apr 21;9:46. doi: 10.3389/fncom.2015.00046. eCollection 2015. PMID: 25954191; PMCID: PMC4405618.
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A Biologically Plausible Transform for Visual Recognition that is Invariant to Translation, Scale, and Rotation.

Frontiers in computational neuroscience

Sountsov P, Santucci DM, Lisman JE.
PMID: 22125522
Front Comput Neurosci. 2011 Nov 22;5:53. doi: 10.3389/fncom.2011.00053. eCollection 2011.

Visual object recognition occurs easily despite differences in position, size, and rotation of the object, but the neural mechanisms responsible for this invariance are not known. We have found a set of transforms that achieve invariance in a neurally...

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Sountsov P, Santucci DM, Lisman JE. A Biologically Plausible Transform for Visual Recognition that is Invariant to Translation, Scale, and Rotation. Front Comput Neurosci. 2011;5:53doi: 10.3389/fncom.2011.00053.
Sountsov, P., Santucci, D. M., & Lisman, J. E. (2011). A Biologically Plausible Transform for Visual Recognition that is Invariant to Translation, Scale, and Rotation. Frontiers in computational neuroscience, 553. https://doi.org/10.3389/fncom.2011.00053
Sountsov, Pavel, et al. "A Biologically Plausible Transform for Visual Recognition that is Invariant to Translation, Scale, and Rotation." Frontiers in computational neuroscience vol. 5 (2011): 53. doi: https://doi.org/10.3389/fncom.2011.00053
Sountsov P, Santucci DM, Lisman JE. A Biologically Plausible Transform for Visual Recognition that is Invariant to Translation, Scale, and Rotation. Front Comput Neurosci. 2011 Nov 22;5:53. doi: 10.3389/fncom.2011.00053. eCollection 2011. PMID: 22125522; PMCID: PMC3222220.
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Age differences in neural response to stereotype threat and resiliency for self-referenced information.

Frontiers in human neuroscience

Colton G, Leshikar ED, Gutchess AH.
PMID: 24046739
Front Hum Neurosci. 2013 Sep 06;7:537. doi: 10.3389/fnhum.2013.00537. eCollection 2013.

To investigate the contribution of cortical midline regions to stereotype threat and resiliency, we compared age groups in an event-related functional MRI study. During scanning, 17 younger and 16 older adults judged whether words stereotypical of aging and control...

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Colton G, Leshikar ED, Gutchess AH. Age differences in neural response to stereotype threat and resiliency for self-referenced information. Front Hum Neurosci. 2013;7:537doi: 10.3389/fnhum.2013.00537.
Colton, G., Leshikar, E. D., & Gutchess, A. H. (2013). Age differences in neural response to stereotype threat and resiliency for self-referenced information. Frontiers in human neuroscience, 7537. https://doi.org/10.3389/fnhum.2013.00537
Colton, Gabriel, et al. "Age differences in neural response to stereotype threat and resiliency for self-referenced information." Frontiers in human neuroscience vol. 7 (2013): 537. doi: https://doi.org/10.3389/fnhum.2013.00537
Colton G, Leshikar ED, Gutchess AH. Age differences in neural response to stereotype threat and resiliency for self-referenced information. Front Hum Neurosci. 2013 Sep 06;7:537. doi: 10.3389/fnhum.2013.00537. eCollection 2013. PMID: 24046739; PMCID: PMC3764398.
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QUANTITATIVE REEVALUATION OF THE EFFECTS OF SHORT- AND LONG-TERM REMOVAL OF DESCENDING MODULATORY INPUTS ON THE PYLORIC RHYTHM OF THE CRAB, .

eNeuro

Hamood AW, Haddad SA, Otopalik AG, Rosenbaum P, Marder E.
PMID: 25914899
eNeuro. 2015 Jan;2(1). doi: 10.1523/ENEURO.0058-14.2015.

The crustacean stomatogastric ganglion (STG) receives descending neuromodulatory inputs from three anterior ganglia, the paired commissural ganglia (CoGs) and the single esophageal ganglion (OG). In this paper we provide the first detailed and quantitative analyses of the short- and...

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Hamood AW, Haddad SA, Otopalik AG, et al. QUANTITATIVE REEVALUATION OF THE EFFECTS OF SHORT- AND LONG-TERM REMOVAL OF DESCENDING MODULATORY INPUTS ON THE PYLORIC RHYTHM OF THE CRAB, . eNeuro. 2015;2(1)doi: 10.1523/ENEURO.0058-14.2015.
Hamood, A. W., Haddad, S. A., Otopalik, A. G., Rosenbaum, P., & Marder, E. (2015). QUANTITATIVE REEVALUATION OF THE EFFECTS OF SHORT- AND LONG-TERM REMOVAL OF DESCENDING MODULATORY INPUTS ON THE PYLORIC RHYTHM OF THE CRAB, . eNeuro, 2(1), . https://doi.org/10.1523/ENEURO.0058-14.2015
Hamood, Albert W, et al. "QUANTITATIVE REEVALUATION OF THE EFFECTS OF SHORT- AND LONG-TERM REMOVAL OF DESCENDING MODULATORY INPUTS ON THE PYLORIC RHYTHM OF THE CRAB, ." eNeuro vol. 2,1 (2015). doi: https://doi.org/10.1523/ENEURO.0058-14.2015
Hamood AW, Haddad SA, Otopalik AG, Rosenbaum P, Marder E. QUANTITATIVE REEVALUATION OF THE EFFECTS OF SHORT- AND LONG-TERM REMOVAL OF DESCENDING MODULATORY INPUTS ON THE PYLORIC RHYTHM OF THE CRAB, . eNeuro. 2015 Jan;2(1). doi: 10.1523/ENEURO.0058-14.2015. PMID: 25914899; PMCID: PMC4408878.
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Showing 1 to 4 of 4 entries