-
1
-
-
0003634127
-
-
MIT Press, Cambridge, MA
-
Rieke F., Warland D., de Ruyter van Steveninck R., Bialek W. Spikes: exploring the neural code 1999, MIT Press, Cambridge, MA.
-
(1999)
Spikes: exploring the neural code
-
-
Rieke, F.1
Warland, D.2
de Ruyter van Steveninck, R.3
Bialek, W.4
-
2
-
-
0027332068
-
Simple models for reading neuronal population codes
-
Seung H.S., Sompolinsky H. Simple models for reading neuronal population codes. Proc Natl Acad Sci USA 1993, 90:10749-10753.
-
(1993)
Proc Natl Acad Sci USA
, vol.90
, pp. 10749-10753
-
-
Seung, H.S.1
Sompolinsky, H.2
-
3
-
-
84893366373
-
Emerging principles of population coding: in search for the neural code
-
Shamir M. Emerging principles of population coding: in search for the neural code. Curr Opin Neurobiol 2014, 25:140-148.
-
(2014)
Curr Opin Neurobiol
, vol.25
, pp. 140-148
-
-
Shamir, M.1
-
4
-
-
0032492432
-
Independent component filters of natural images compared with simple cells in primary visual cortex
-
van Hateren J.H., van der Schaaf A. Independent component filters of natural images compared with simple cells in primary visual cortex. Proc Biol Sci 1998, 265:359-366.
-
(1998)
Proc Biol Sci
, vol.265
, pp. 359-366
-
-
van Hateren, J.H.1
van der Schaaf, A.2
-
5
-
-
0034934777
-
Natural image statistics and neural representation
-
Simoncelli E.P., Olshausen B.A. Natural image statistics and neural representation. Annu Rev Neurosci 2001, 24:1193-1216.
-
(2001)
Annu Rev Neurosci
, vol.24
, pp. 1193-1216
-
-
Simoncelli, E.P.1
Olshausen, B.A.2
-
6
-
-
79952512265
-
How to grow a mind: statistics, structure, and abstraction
-
Tenenbaum J.B., Kemp C., Griffiths T.L., Goodman N.D. How to grow a mind: statistics, structure, and abstraction. Science 2011, 331:1279-1285.
-
(2011)
Science
, vol.331
, pp. 1279-1285
-
-
Tenenbaum, J.B.1
Kemp, C.2
Griffiths, T.L.3
Goodman, N.D.4
-
7
-
-
84864523394
-
Bayesian just-so stories in psychology and neuroscience
-
Bowers J.S., Davis C.J. Bayesian just-so stories in psychology and neuroscience. Psychol Bull 2012, 138:389-414.
-
(2012)
Psychol Bull
, vol.138
, pp. 389-414
-
-
Bowers, J.S.1
Davis, C.J.2
-
8
-
-
84892868900
-
Bayesian statistics: relevant for the brain?
-
Kording K.P. Bayesian statistics: relevant for the brain?. Curr Opin Neurobiol 2014, 25:130-133.
-
(2014)
Curr Opin Neurobiol
, vol.25
, pp. 130-133
-
-
Kording, K.P.1
-
9
-
-
0020118274
-
Neural networks and physical systems with emergent collective computational abilities
-
Hopfield J.J. Neural networks and physical systems with emergent collective computational abilities. Proc Natl Acad Sci USA 1982, 79:2554-2558.
-
(1982)
Proc Natl Acad Sci USA
, vol.79
, pp. 2554-2558
-
-
Hopfield, J.J.1
-
12
-
-
0033811553
-
Synaptic mechanisms and network dynamics underlying spatial working memory in a cortical network model
-
Compte A., Brunel N., Goldman-Rakic P.S., Wang X.J. Synaptic mechanisms and network dynamics underlying spatial working memory in a cortical network model. Cereb Cortex 2000, 10:910-923.
-
(2000)
Cereb Cortex
, vol.10
, pp. 910-923
-
-
Compte, A.1
Brunel, N.2
Goldman-Rakic, P.S.3
Wang, X.J.4
-
13
-
-
84889569838
-
Working models of working memory
-
Barak O., Tsodyks M. Working models of working memory. Curr Opin Neurobiol 2014, 25:20-24.
-
(2014)
Curr Opin Neurobiol
, vol.25
, pp. 20-24
-
-
Barak, O.1
Tsodyks, M.2
-
14
-
-
0029800695
-
How the brain keeps the eyes still
-
Seung H.S. How the brain keeps the eyes still. Proc Natl Acad Sci USA 1996, 93:13339-13344.
-
(1996)
Proc Natl Acad Sci USA
, vol.93
, pp. 13339-13344
-
-
Seung, H.S.1
-
15
-
-
0029961607
-
Representation of spatial orientation by the intrinsic dynamics of the head-direction cell ensemble: a theory
-
Zhang K. Representation of spatial orientation by the intrinsic dynamics of the head-direction cell ensemble: a theory. J Neurosci 1996, 16:2112-2126.
-
(1996)
J Neurosci
, vol.16
, pp. 2112-2126
-
-
Zhang, K.1
-
16
-
-
0033711439
-
Stability of the memory of eye position in a recurrent network of conductance-based model neurons
-
Seung H.S., Lee D.D., Reis B.Y., Tank D.W. Stability of the memory of eye position in a recurrent network of conductance-based model neurons. Neuron 2000, 26:259-271.
-
(2000)
Neuron
, vol.26
, pp. 259-271
-
-
Seung, H.S.1
Lee, D.D.2
Reis, B.Y.3
Tank, D.W.4
-
17
-
-
0037566546
-
Robust spatial working memory through homeostatic synaptic scaling in heterogeneous cortical networks
-
Renart A., Song P., Wang X.-J. Robust spatial working memory through homeostatic synaptic scaling in heterogeneous cortical networks. Neuron 2003, 38:473-485.
-
(2003)
Neuron
, vol.38
, pp. 473-485
-
-
Renart, A.1
Song, P.2
Wang, X.-J.3
-
18
-
-
84894046225
-
Spatial coding and attractor dynamics of grid cells in the entorhinal cortex
-
Burak Y. Spatial coding and attractor dynamics of grid cells in the entorhinal cortex. Curr Opin Neurobiol 2014, 25:169-175.
-
(2014)
Curr Opin Neurobiol
, vol.25
, pp. 169-175
-
-
Burak, Y.1
-
19
-
-
84867116171
-
Neuromodulation of neuronal circuits: back to the future
-
Marder E. Neuromodulation of neuronal circuits: back to the future. Neuron 2012, 76:1-11.
-
(2012)
Neuron
, vol.76
, pp. 1-11
-
-
Marder, E.1
-
20
-
-
84890774702
-
A comparative approach to closed-loop computation
-
Roth E., Sponberg S., Cowan N.J. A comparative approach to closed-loop computation. Curr Opin Neurobiol 2014, 25:54-62.
-
(2014)
Curr Opin Neurobiol
, vol.25
, pp. 54-62
-
-
Roth, E.1
Sponberg, S.2
Cowan, N.J.3
-
21
-
-
84890181390
-
Molecular computation in neurons: a modeling perspective
-
Bhalla U.S. Molecular computation in neurons: a modeling perspective. Curr Opin Neurobiol 2014, 25:31-37.
-
(2014)
Curr Opin Neurobiol
, vol.25
, pp. 31-37
-
-
Bhalla, U.S.1
-
23
-
-
84888095498
-
Large-scale brain dynamics in disorders of consciousness
-
Schiff N.D., Nauvel T., Victor J.D. Large-scale brain dynamics in disorders of consciousness. Curr Opin Neurobiol 2014, 25:7-14.
-
(2014)
Curr Opin Neurobiol
, vol.25
, pp. 7-14
-
-
Schiff, N.D.1
Nauvel, T.2
Victor, J.D.3
-
24
-
-
84892863269
-
Modeling the dynamical effects of anesthesia on brain circuits
-
Ching S., Brown E.N. Modeling the dynamical effects of anesthesia on brain circuits. Curr Opin Neurobiol 2014, 25:116-122.
-
(2014)
Curr Opin Neurobiol
, vol.25
, pp. 116-122
-
-
Ching, S.1
Brown, E.N.2
-
25
-
-
84856192216
-
Toward an integrated approach to perception and action: conference report and future directions
-
Gordon G., Kaplan D.M., Lankow B., Little D.Y., Sherwin J., Suter B.A., Thaler L. Toward an integrated approach to perception and action: conference report and future directions. Front Syst Neurosci 2011, 5:20. 10.3389/fnsys. 2011.00020.
-
(2011)
Front Syst Neurosci
, vol.5
, pp. 20
-
-
Gordon, G.1
Kaplan, D.M.2
Lankow, B.3
Little, D.Y.4
Sherwin, J.5
Suter, B.A.6
Thaler, L.7
-
26
-
-
84891803861
-
Nematode locomotion: dissecting the neuronal-environmental loop
-
Cohen N., Sanders T. Nematode locomotion: dissecting the neuronal-environmental loop. Curr Opin Neurobiol 2014, 25:99-106.
-
(2014)
Curr Opin Neurobiol
, vol.25
, pp. 99-106
-
-
Cohen, N.1
Sanders, T.2
-
27
-
-
84865401265
-
The spike-timing dependence of plasticity
-
Feldman D.E. The spike-timing dependence of plasticity. Neuron 2012, 75:556-571.
-
(2012)
Neuron
, vol.75
, pp. 556-571
-
-
Feldman, D.E.1
-
28
-
-
84893201625
-
To spike, or when to spike?
-
Gütig R. To spike, or when to spike?. Curr Opin Neurobiol 2014, 25:134-139.
-
(2014)
Curr Opin Neurobiol
, vol.25
, pp. 134-139
-
-
Gütig, R.1
-
29
-
-
77949798185
-
Modelling the molecular mechanisms of synaptic plasticity using systems biology approaches
-
Kotaleski J.H., Blackwell K.T. Modelling the molecular mechanisms of synaptic plasticity using systems biology approaches. Nat Rev Neurosci 2010, 11:239-251.
-
(2010)
Nat Rev Neurosci
, vol.11
, pp. 239-251
-
-
Kotaleski, J.H.1
Blackwell, K.T.2
-
30
-
-
77956960814
-
Theory of large recurrent networks: from spikes to behavior
-
Elsevier, London, Chap. 8, C. Chow, B. Gutkin, D. Hansel, C. Meunier, J. Dalibard (Eds.)
-
Sompolinsky H., White O.L. Theory of large recurrent networks: from spikes to behavior. Les Houches Lectures LXXX on methods and models in neurophysics 2005, 267-339. Elsevier, London, Chap. 8. C. Chow, B. Gutkin, D. Hansel, C. Meunier, J. Dalibard (Eds.).
-
(2005)
Les Houches Lectures LXXX on methods and models in neurophysics
, pp. 267-339
-
-
Sompolinsky, H.1
White, O.L.2
-
31
-
-
51849128608
-
Sparse coding via thresholding and local competition in neural circuits
-
Rozell C.J., Johnson D.H., Baraniuk R.G., Olshausen B.A. Sparse coding via thresholding and local competition in neural circuits. Neural Comput 2008, 20:2526-2563.
-
(2008)
Neural Comput
, vol.20
, pp. 2526-2563
-
-
Rozell, C.J.1
Johnson, D.H.2
Baraniuk, R.G.3
Olshausen, B.A.4
-
32
-
-
84155167791
-
Normalization as a canonical neural computation
-
Carandini M., Heeger D.J. Normalization as a canonical neural computation. Nat Rev Neurosci 2012, 13:51-62.
-
(2012)
Nat Rev Neurosci
, vol.13
, pp. 51-62
-
-
Carandini, M.1
Heeger, D.J.2
-
33
-
-
60449120140
-
Balanced amplification: a new mechanism of selective amplification of neural activity patterns
-
Murphy B.K., Miller K.D. Balanced amplification: a new mechanism of selective amplification of neural activity patterns. Neuron 2009, 61:635-648.
-
(2009)
Neuron
, vol.61
, pp. 635-648
-
-
Murphy, B.K.1
Miller, K.D.2
-
34
-
-
0032528729
-
Chaotic balanced state in a model of cortical circuits
-
van Vreeswijk C., Sompolinsky H. Chaotic balanced state in a model of cortical circuits. Neural Comput 1998, 10:1321-1371.
-
(1998)
Neural Comput
, vol.10
, pp. 1321-1371
-
-
van Vreeswijk, C.1
Sompolinsky, H.2
-
36
-
-
84893503924
-
Neural circuits as computational dynamical systems
-
Sussillo D. Neural circuits as computational dynamical systems. Curr Opin Neurobiol 2014, 25:156-163.
-
(2014)
Curr Opin Neurobiol
, vol.25
, pp. 156-163
-
-
Sussillo, D.1
-
37
-
-
52049107354
-
Reinforcement learning: the good, the bad and the ugly
-
Dayan P., Niv Y. Reinforcement learning: the good, the bad and the ugly. Curr Opin Neurobiol 2008, 18:185-196.
-
(2008)
Curr Opin Neurobiol
, vol.18
, pp. 185-196
-
-
Dayan, P.1
Niv, Y.2
-
38
-
-
84896724329
-
The role of efference copy in striatal reinforcement learning
-
Fee M.S. The role of efference copy in striatal reinforcement learning. Curr Opin Neurobiol 2014, 25:194-200.
-
(2014)
Curr Opin Neurobiol
, vol.25
, pp. 194-200
-
-
Fee, M.S.1
-
39
-
-
70149100418
-
Stimulus ensemble and cortical layer determine V1 spatial receptive fields
-
Yeh C.-I., Xing D., Williams P.E., Shapley R.M. Stimulus ensemble and cortical layer determine V1 spatial receptive fields. Proc Natl Acad Sci USA 2009, 106:14652-14657.
-
(2009)
Proc Natl Acad Sci USA
, vol.106
, pp. 14652-14657
-
-
Yeh, C.-I.1
Xing, D.2
Williams, P.E.3
Shapley, R.M.4
-
40
-
-
0842346370
-
Reaching beyond the classical receptive field of V1 neurons: horizontal or feedback axons?
-
Angelucci A., Bullier J. Reaching beyond the classical receptive field of V1 neurons: horizontal or feedback axons?. J Physiol Paris 2003, 97:141-154.
-
(2003)
J Physiol Paris
, vol.97
, pp. 141-154
-
-
Angelucci, A.1
Bullier, J.2
-
41
-
-
84861957140
-
Sensorimotor mismatch signals in primary visual cortex of the behaving mouse
-
Keller G.B., Bonhoeffer T., Hübener M. Sensorimotor mismatch signals in primary visual cortex of the behaving mouse. Neuron 2012, 74:809-815.
-
(2012)
Neuron
, vol.74
, pp. 809-815
-
-
Keller, G.B.1
Bonhoeffer, T.2
Hübener, M.3
-
42
-
-
84877288607
-
Corticocortical feedback contributes to surround suppression in V1 of the alert primate
-
Nassi J.J., Lomber S.G., Born R.T. Corticocortical feedback contributes to surround suppression in V1 of the alert primate. J Neurosci 2013, 33:8504-8517.
-
(2013)
J Neurosci
, vol.33
, pp. 8504-8517
-
-
Nassi, J.J.1
Lomber, S.G.2
Born, R.T.3
-
43
-
-
84886950236
-
A disinhibitory circuit mediates motor integration in the somatosensory cortex
-
Lee S., Kruglikov I., Huang Z.J., Fishell G., Rudy B. A disinhibitory circuit mediates motor integration in the somatosensory cortex. Nat Neurosci 2013, 16:1662-1670.
-
(2013)
Nat Neurosci
, vol.16
, pp. 1662-1670
-
-
Lee, S.1
Kruglikov, I.2
Huang, Z.J.3
Fishell, G.4
Rudy, B.5
-
44
-
-
0041324844
-
Rate models for conductance-based cortical neuronal networks
-
Shriki O., Hansel D., Sompolinsky H. Rate models for conductance-based cortical neuronal networks. Neural Comput 2003, 15:1809-1841.
-
(2003)
Neural Comput
, vol.15
, pp. 1809-1841
-
-
Shriki, O.1
Hansel, D.2
Sompolinsky, H.3
-
45
-
-
0000650934
-
Reduction of conductance-based models with slow synapses to neural nets
-
Ermentrout B. Reduction of conductance-based models with slow synapses to neural nets. Neural Comput 2008, 6:679-695.
-
(2008)
Neural Comput
, vol.6
, pp. 679-695
-
-
Ermentrout, B.1
-
46
-
-
7244239706
-
Multiscale modeling and computation
-
Weinan E., Engquist B. Multiscale modeling and computation. Notice AMS 2003, 50:1062-1070.
-
(2003)
Notice AMS
, vol.50
, pp. 1062-1070
-
-
Weinan, E.1
Engquist, B.2
-
48
-
-
84896709100
-
Do we understand high-level vision?
-
Cox D.D. Do we understand high-level vision?. Curr Opin Neurobiol 2014, 25:187-193.
-
(2014)
Curr Opin Neurobiol
, vol.25
, pp. 187-193
-
-
Cox, D.D.1
-
49
-
-
84877760312
-
Large scale distributed deep networks
-
MIT Press, Cambridge, MA, P. Bartlett (Ed.)
-
Dean J., Corrado G., Monga R., Chen K., Devin M., Mao M., Ranzato M., Senior A., Tucker P., Yang K., et al. Large scale distributed deep networks. Advances in Neural Information Processing Systems 25 2012, 1223-1231. MIT Press, Cambridge, MA. P. Bartlett (Ed.).
-
(2012)
Advances in Neural Information Processing Systems 25
, pp. 1223-1231
-
-
Dean, J.1
Corrado, G.2
Monga, R.3
Chen, K.4
Devin, M.5
Mao, M.6
Ranzato, M.7
Senior, A.8
Tucker, P.9
Yang, K.10
-
51
-
-
84869753419
-
Canonical microcircuits for predictive coding
-
Bastos A.M., Usrey W.M., Adams R.A., Mangun G.R., Fries P., Friston K.J. Canonical microcircuits for predictive coding. Neuron 2012, 76:695-711.
-
(2012)
Neuron
, vol.76
, pp. 695-711
-
-
Bastos, A.M.1
Usrey, W.M.2
Adams, R.A.3
Mangun, G.R.4
Fries, P.5
Friston, K.J.6
-
52
-
-
0042565834
-
Hierarchical Bayesian inference in the visual cortex
-
Lee T.S., Mumford D. Hierarchical Bayesian inference in the visual cortex. J Opt Soc Am A 2003, 20:1434-1515.
-
(2003)
J Opt Soc Am A
, vol.20
, pp. 1434-1515
-
-
Lee, T.S.1
Mumford, D.2
-
53
-
-
0033360288
-
Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects
-
Rao R.P., Ballard D.H. Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects. Nat Neurosci 1999, 2:79-87.
-
(1999)
Nat Neurosci
, vol.2
, pp. 79-87
-
-
Rao, R.P.1
Ballard, D.H.2
-
56
-
-
84888084621
-
What must a global theory of cortex explain?
-
Valiant L.G. What must a global theory of cortex explain?. Curr Opin Neurobiol 2014, 25:15-19.
-
(2014)
Curr Opin Neurobiol
, vol.25
, pp. 15-19
-
-
Valiant, L.G.1
-
57
-
-
84891288709
-
Toward a computational theory of conscious processing
-
Dehaene S., Charles L., King J.-R., Marti S. Toward a computational theory of conscious processing. Curr Opin Neurobiol 2014, 25:76-84.
-
(2014)
Curr Opin Neurobiol
, vol.25
, pp. 76-84
-
-
Dehaene, S.1
Charles, L.2
King, J.-R.3
Marti, S.4
-
58
-
-
77954604203
-
The brain's router: a cortical network model of serial processing in the primate brain
-
Zylberberg A., Fernández Slezak D., Roelfsema P.R., Dehaene S., Sigman M. The brain's router: a cortical network model of serial processing in the primate brain. PLoS Comput Biol 2010, 6:e1000765.
-
(2010)
PLoS Comput Biol
, vol.6
-
-
Zylberberg, A.1
Fernández Slezak, D.2
Roelfsema, P.R.3
Dehaene, S.4
Sigman, M.5
-
59
-
-
84885448511
-
The use and abuse of large-scale brain models
-
Eliasmith C., Trujillo O. The use and abuse of large-scale brain models. Curr Opin Neurobiol 2014, 25:1-6.
-
(2014)
Curr Opin Neurobiol
, vol.25
, pp. 1-6
-
-
Eliasmith, C.1
Trujillo, O.2
-
60
-
-
84876812210
-
Mental health: on the spectrum
-
Adam D. Mental health: on the spectrum. Nature 2013, 496:416-418.
-
(2013)
Nature
, vol.496
, pp. 416-418
-
-
Adam, D.1
-
61
-
-
84856046439
-
Interneuron dysfunction in psychiatric disorders
-
Marín O. Interneuron dysfunction in psychiatric disorders. Nat Rev Neurosci 2012, 13:107-120.
-
(2012)
Nat Rev Neurosci
, vol.13
, pp. 107-120
-
-
Marín, O.1
-
62
-
-
80053131124
-
Large-scale brain networks and psychopathology: a unifying triple network model
-
Menon V. Large-scale brain networks and psychopathology: a unifying triple network model. Trends Cogn Sci 2011, 15:483-506.
-
(2011)
Trends Cogn Sci
, vol.15
, pp. 483-506
-
-
Menon, V.1
-
63
-
-
84865957580
-
Dynamical changes in neurological diseases and anesthesia
-
McCarthy M.M., Ching S., Whittington M.A., Kopell N. Dynamical changes in neurological diseases and anesthesia. Curr Opin Neurobiol 2012, 22:693-703.
-
(2012)
Curr Opin Neurobiol
, vol.22
, pp. 693-703
-
-
McCarthy, M.M.1
Ching, S.2
Whittington, M.A.3
Kopell, N.4
-
64
-
-
84892891610
-
Multiplexing signals in reinforcement learning with internal models and dopamine
-
Hiroyuki N. Multiplexing signals in reinforcement learning with internal models and dopamine. Curr Opin Neurobiol 2014, 25:123-129.
-
(2014)
Curr Opin Neurobiol
, vol.25
, pp. 123-129
-
-
Hiroyuki, N.1
-
65
-
-
84891334262
-
Computational approaches to psychiatry
-
Stephan K.E., Mathys C. Computational approaches to psychiatry. Curr Opin Neurobiol 2014, 25:85-92.
-
(2014)
Curr Opin Neurobiol
, vol.25
, pp. 85-92
-
-
Stephan, K.E.1
Mathys, C.2
-
66
-
-
84865632744
-
Consistency of network modules in resting-state fMRI connectome data
-
Moussa M.N., Steen M.R., Laurienti P.J., Hayasaka S. Consistency of network modules in resting-state fMRI connectome data. PLoS ONE 2012, 7:e44428.
-
(2012)
PLoS ONE
, vol.7
-
-
Moussa, M.N.1
Steen, M.R.2
Laurienti, P.J.3
Hayasaka, S.4
-
67
-
-
84888878720
-
Functional connectomics from resting-state fMRI
-
Smith S.M., Vidaurre D., Beckmann C.F., Glasser M.F., Jenkinson M., Miller K.L., Nichols T.E., Robinson E.C., Salimi-Khorshidi G., Woolrich M.W., et al. Functional connectomics from resting-state fMRI. Trends Cogn Sci 2013, 17:666-682.
-
(2013)
Trends Cogn Sci
, vol.17
, pp. 666-682
-
-
Smith, S.M.1
Vidaurre, D.2
Beckmann, C.F.3
Glasser, M.F.4
Jenkinson, M.5
Miller, K.L.6
Nichols, T.E.7
Robinson, E.C.8
Salimi-Khorshidi, G.9
Woolrich, M.W.10
-
68
-
-
60549103853
-
Complex brain networks: graph theoretical analysis of structural and functional systems
-
Bullmore E., Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci 2009, 10:186-198.
-
(2009)
Nat Rev Neurosci
, vol.10
, pp. 186-198
-
-
Bullmore, E.1
Sporns, O.2
-
70
-
-
84897570420
-
-
Prevedel R, Yoon Y-G, Hoffmann N, Pak N, Wetzstein G, Kato S, Schrödel T, Raskar R, Zimmer M, Boyden ES, Vaziri A. Simultaneous whole-animal 3D-imaging of neuronal activity using light field microscopy.arXiv:1401.5333 [physics.optics], 2014.
-
(2014)
Simultaneous whole-animal 3D-imaging of neuronal activity using light field microscopy.arXiv:1401.5333 [physics.optics
-
-
Prevedel, R.1
Yoon, Y.-G.2
Hoffmann, N.3
Pak, N.4
Wetzstein, G.5
Kato, S.6
Schrödel, T.7
Raskar, R.8
Zimmer, M.9
Boyden, E.S.10
Vaziri, A.11
-
71
-
-
84880818857
-
From the connectome to brain function
-
Bargmann C.I., Marder E. From the connectome to brain function. Nat Methods 2013, 10:483-490.
-
(2013)
Nat Methods
, vol.10
, pp. 483-490
-
-
Bargmann, C.I.1
Marder, E.2
-
73
-
-
84877585171
-
Whole-brain functional imaging at cellular resolution using light-sheet microscopy
-
Ahrens M.B., Orger M.B., Robson D.N., Li J.M., Keller P.J. Whole-brain functional imaging at cellular resolution using light-sheet microscopy. Nat Methods 2013, 10:413-420.
-
(2013)
Nat Methods
, vol.10
, pp. 413-420
-
-
Ahrens, M.B.1
Orger, M.B.2
Robson, D.N.3
Li, J.M.4
Keller, P.J.5
|