-
1
-
-
0000695404
-
Information-based objective functions for active data selection
-
D. J. C. MacKay. Information-based objective functions for active data selection. Neural Computation, 4(4):590-604, 1992.
-
(1992)
Neural Computation
, vol.4
, Issue.4
, pp. 590-604
-
-
MacKay, D.J.C.1
-
2
-
-
84972528615
-
Bayesian experimental design: A review
-
K. Chaloner and I. Verdinelli. Bayesian experimental design: a review. Statistical Science, 10:273-304, 1995.
-
(1995)
Statistical Science
, vol.10
, pp. 273-304
-
-
Chaloner, K.1
Verdinelli, I.2
-
4
-
-
0020713980
-
QUEST: A Bayesian adaptive psychophysical method
-
A. Watson and D. Pelli. QUEST: a Bayesian adaptive psychophysical method. Perception and Psychophysics, 33:113-120, 1983.
-
(1983)
Perception and Psychophysics
, vol.33
, pp. 113-120
-
-
Watson, A.1
Pelli, D.2
-
5
-
-
18744390761
-
Asymptotic theory of information-theoretic experimental design
-
L. Paninski. Asymptotic theory of information-theoretic experimental design. Neural Computation, 17(7):1480-1507, 2005.
-
(2005)
Neural Computation
, vol.17
, Issue.7
, pp. 1480-1507
-
-
Paninski, L.1
-
6
-
-
63249126388
-
Sequential optimal design of neurophysiology experiments
-
J. Lewi, R. Butera, and L. Paninski. Sequential optimal design of neurophysiology experiments. Neural Computation, 21(3):619-687, 2009.
-
(2009)
Neural Computation
, vol.21
, Issue.3
, pp. 619-687
-
-
Lewi, J.1
Butera, R.2
Paninski, L.3
-
7
-
-
12544253489
-
A point process framework for relating neural spiking activity to spiking history, neural ensemble and extrinsic covariate effects
-
W. Truccolo, U. T. Eden, M. R. Fellows, J. P. Donoghue, and E. N. Brown. A point process framework for relating neural spiking activity to spiking history, neural ensemble and extrinsic covariate effects. J. Neurophysiol, 93(2):1074-1089, 2005.
-
(2005)
J. Neurophysiol
, vol.93
, Issue.2
, pp. 1074-1089
-
-
Truccolo, W.1
Eden, U.T.2
Fellows, M.R.3
Donoghue, J.P.4
Brown, E.N.5
-
8
-
-
84898946956
-
Evidence optimization techniques for estimating stimulus-response functions
-
M. Sahani and J. Linden. Evidence optimization techniques for estimating stimulus-response functions. NIPS, 15, 2003.
-
(2003)
NIPS
, vol.15
-
-
Sahani, M.1
Linden, J.2
-
9
-
-
80055065461
-
Receptive field inference with localized priors
-
M. Park and J. W. Pillow. Receptive field inference with localized priors. PLoS Comput Biol, 7(10):e1002219, 2011.
-
(2011)
PLoS Comput Biol
, vol.7
, Issue.10
-
-
Park, M.1
Pillow, J.W.2
-
10
-
-
84877767023
-
Bayesian active learning for classification and preference learning
-
abs/1112.5745
-
N. Houlsby, F. Huszar, Z. Ghahramani, and M. Lengyel. Bayesian active learning for classification and preference learning. CoRR, abs/1112.5745, 2011.
-
(2011)
CoRR
-
-
Houlsby, N.1
Huszar, F.2
Ghahramani, Z.3
Lengyel, M.4
-
11
-
-
9744274025
-
Maximum likelihood estimation of cascade point-process neural encoding models
-
L. Paninski. Maximum likelihood estimation of cascade point-process neural encoding models. Network: Computation in Neural Systems, 15:243-262, 2004.
-
(2004)
Network: Computation in Neural Systems
, vol.15
, pp. 243-262
-
-
Paninski, L.1
-
13
-
-
78650608745
-
Model-based decoding, information estimation, and change-point detection techniques for multineuron spike trains
-
Jan.
-
J. W. Pillow, Y. Ahmadian, and L. Paninski. Model-based decoding, information estimation, and change-point detection techniques for multineuron spike trains. Neural Comput, 23(1):1-45, Jan 2011.
-
(2011)
Neural Comput
, vol.23
, Issue.1
, pp. 1-45
-
-
Pillow, J.W.1
Ahmadian, Y.2
Paninski, L.3
-
15
-
-
20444369637
-
Spatiotemporal elements of macaque v1 receptive fields
-
N. C. Rust, Schwartz O., J. A. Movshon, and Simoncelli E.P. Spatiotemporal elements of macaque v1 receptive fields. Neuron, 46(6):945-956, 2005.
-
(2005)
Neuron
, vol.46
, Issue.6
, pp. 945-956
-
-
Rust, N.C.1
Schwartz, O.2
Movshon, J.A.3
Simoncelli, E.P.4
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