Results 91 to 100 of about 1,400,187 (379)

Dynamical principles in neuroscience [PDF]

, 2006
Dynamical modeling of neural systems and brain functions has a history of success over the last half century. This includes, for example, the explanation and prediction of some features of neural rhythmic behaviors.
Abarbanel, H. D. I., Abarbanel, H. D. I., Abeles, M., Abeles, M., Adrian, E. D., Allen I. Selverston, Amit, D., Amit, D. J., Andronov, A., Andronov, A., Andronov, A. A., Arbib, M. A., Arnold, V., Ashby, W. R., Baird, B., Bartos, M., Bartos, M., Bi, G., Bliss, T. V., Bondarenko, V., Borda, J. C., Canavier, C., Chay, T., Chklovskii, D. B., Cohen, M. A., Crevier, D., Cymbalyuk, G., de Nó, R. L., deCharms, R., Diwadkar, V. A., Duda, R., Elson, R. C., Fano, R. M., Fatt, P., Freeman, W., Freeman, W., Fuhrmann, G., Gallager, R. G., Gavrilov, N., Gerstner, W., Glass, L., Goroff, D., Grossberg, S., Guckenheimer, J., Hatsopoulos, N., Hebb, R., Henry D. I. Abarbanel, Hodgkin, A. L., Hopfield, J., Ichinohe, N., Ince, D., Izhikevich, E., Jones, S. R., Kandel, E. R., Kaplan, D., Katz, B., Kim, U., Kimpo, R. R., Koch, C., Konishi, M., Kuramoto, Y., Kuznetsov, Y., Landau, L. D., Lapicque, L., Lashley, K., Levi, R., Lindner, B., Lotka, A. J., Malkov, V., Maravall, M., Marder, E., Mikhail I. Rabinovich, Nicholls, J. G., Nowotny, T., Oscarsson, O., Ott, E., O’Reilly, R., Pablo Varona, Panchin, Y., Pikovsky, A., Poincaré, A., Poincaré, H., Prinz, A., Prinz, A. A., Rabinovich, M., Ramirez, J., Reinagel, P., Rosenblatt, F., Rowe, D., Saari, G., Segundo, J. P., Segundo, J. P., Senseman, D. M., Seung, H. S., Shadlen, M. N., Shepherd, G., Simmers A. J., Singer, W., Stein, S. G., Strogatz, S. H., Szekely, G., Szücs, A., Szücs, A., Szücs, A., Tsuda, I., Turrigiano, G. G., Varona, P., Volterra, V., Wang, X.-J., Wilson, H. R., Zhigulin, V. P.   +110 more
core   +2 more sources

Drosophila enhancer-Gal4 lines show ectopic expression during development [PDF]

Royal Society Open Science, 2017
In Drosophila melanogaster the most widely used technique to drive gene expression is the binary UAS/Gal4 system. We show here that a set of nervous system specific enhancers (elav, D42/Toll-6, OK6/RapGAP1) display ectopic activity in epithelial tissues ...
Sergio Casas-Tintó, Mercedes Arnés, Alberto Ferrús   +2 more
doaj   +1 more source

The background and experience of neuroscience teachers in Australian universities: A cross-sectional survey.

PLoS ONE
Neuroscience is an academic discipline taught within a broad range of university degrees and programs. The expertise and experience of neuroscience teaching staff contribute to the student's learning experience and knowledge acquisition.
Gabrielle Todd, Fabian Kreilaus, Amy S Lonergan, Melissa S Cameron, Kay L Double   +4 more
doaj   +1 more source

The past, present and future of neuroscience data sharing: a perspective on the state of practices and infrastructure for FAIR

Frontiers in Neuroinformatics
Neuroscience has made significant strides over the past decade in moving from a largely closed science characterized by anemic data sharing, to a largely open science where the amount of publicly available neuroscience data has increased dramatically ...
Maryann E. Martone, Maryann E. Martone
doaj   +1 more source

Brain matters…in social sciences [PDF]

, 2016
Here we offer a general introduction to cognitive neuroscience and provide examples relevant to psychology, healthcare and bioethics, law and criminology, information studies, of how brain studies have influenced, are influencing or show the potential to
Christopher D. Chambers, Elena Rusconi, Jemma Sedgmond, null null, Samuela Bolgan   +4 more
core   +6 more sources

What can topology tell us about the neural code? [PDF]

Bulletin of the AMS, vol. 54, no. 1, pp. 63-78, January 2017, 2016
Neuroscience is undergoing a period of rapid experimental progress and expansion. New mathematical tools, previously unknown in the neuroscience community, are now being used to tackle fundamental questions and analyze emerging data sets. Consistent with this trend, the last decade has seen an uptick in the use of topological ideas and methods in ...
arxiv  

(WP 2010-08) Neuroeconomics: Constructing Identity [PDF]

, 2010
This paper asks whether neuroeconomics will make instrumental use of neuroscience to adjudicate existing disputes in economics or be more seriously informed by neuroscience in ways that might transform economics.
Davis, John B
core   +1 more source

Affective neuroscience, emotional regulation, and international relations [PDF]

, 2019
International relations (IR) has witnessed an emerging interest in neuroscience, particularly for its relevance to a now widespread scholarship on emotions.
Gammon, Earl
core   +1 more source

Is neuroscience facing up to statistical power? [PDF]

arXiv, 2017
It has been demonstrated that the statistical power of many neuroscience studies is very low, so that the results are unlikely to be robustly reproducible. How are neuroscientists and the journals in which they publish responding to this problem? Here I review the sample size justifications provided for all 15 papers published in one recent issue of ...
arxiv  

The Roles of Supervised Machine Learning in Systems Neuroscience [PDF]

arXiv, 2018
Over the last several years, the use of machine learning (ML) in neuroscience has been rapidly increasing. Here, we review ML's contributions, both realized and potential, across several areas of systems neuroscience. We describe four primary roles of ML within neuroscience: 1) creating solutions to engineering problems, 2) identifying predictive ...
arxiv