2008 |
22 | EE | John P. Cunningham,
Krishna V. Shenoy,
Maneesh Sahani:
Fast Gaussian process methods for point process intensity estimation.
ICML 2008: 192-199 |
21 | EE | Byron M. Yu,
John P. Cunningham,
Gopal Santhanam,
Stephen I. Ryu,
Krishna V. Shenoy,
Maneesh Sahani:
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity.
NIPS 2008: 1881-1888 |
2007 |
20 | EE | Richard E. Turner,
Maneesh Sahani:
Probabilistic Amplitude Demodulation.
ICA 2007: 544-551 |
19 | EE | Jörg Lücke,
Maneesh Sahani:
Generalized Softmax Networks for Non-linear Component Extraction.
ICANN (1) 2007: 657-667 |
18 | EE | Simon J. D. Prince,
Jania Aghajanian,
Umar Mohammed,
Maneesh Sahani:
Latent Identity Variables: Biometric Matching Without Explicit Identity Estimation.
ICB 2007: 424-434 |
17 | EE | Byron M. Yu,
John P. Cunningham,
Krishna V. Shenoy,
Maneesh Sahani:
Neural Decoding of Movements: From Linear to Nonlinear Trajectory Models.
ICONIP (1) 2007: 586-595 |
16 | EE | Misha Ahrens,
Maneesh Sahani:
Inferring Elapsed Time from Stochastic Neural Processes.
NIPS 2007 |
15 | EE | John P. Cunningham,
Byron M. Yu,
Krishna V. Shenoy,
Maneesh Sahani:
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes.
NIPS 2007 |
14 | EE | Richard Turner,
Maneesh Sahani:
Modeling Natural Sounds with Modulation Cascade Processes.
NIPS 2007 |
13 | EE | Pietro Berkes,
Richard Turner,
Maneesh Sahani:
On Sparsity and Overcompleteness in Image Models.
NIPS 2007 |
12 | EE | Richard E. Turner,
Maneesh Sahani:
A Maximum-Likelihood Interpretation for Slow Feature Analysis.
Neural Computation 19(4): 1022-1038 (2007) |
2005 |
11 | EE | Byron M. Yu,
Afsheen Afshar,
Gopal Santhanam,
Stephen I. Ryu,
Krishna V. Shenoy,
Maneesh Sahani:
Extracting Dynamical Structure Embedded in Neural Activity.
NIPS 2005 |
2003 |
10 | EE | Maneesh Sahani:
A Biologically Plausible Algorithm for Reinforcement-shaped Representational Learning.
NIPS 2003 |
9 | EE | Maneesh Sahani,
Srikantan S. Nagarajan:
Reconstructing MEG Sources with Unknown Correlations.
NIPS 2003 |
8 | EE | Maneesh Sahani,
Peter Dayan:
Doubly Distributional Population Codes: Simultaneous Representation of Uncertainty and Multiplicity.
Neural Computation 15(10): 2255-2279 (2003) |
2002 |
7 | EE | Maneesh Sahani,
Jennifer F. Linden:
How Linear are Auditory Cortical Responses?.
NIPS 2002: 109-116 |
6 | EE | Peter Dayan,
Maneesh Sahani,
Gregoire Deback:
Adaptation and Unsupervised Learning.
NIPS 2002: 221-228 |
5 | EE | Maneesh Sahani,
Jennifer F. Linden:
Evidence Optimization Techniques for Estimating Stimulus-Response Functions.
NIPS 2002: 301-308 |
2000 |
4 | EE | John S. Pezaris,
Maneesh Sahani,
Richard A. Andersen:
Spike train coherence in macaque parietal cortex during a memory saccade task.
Neurocomputing 32-33: 953-960 (2000) |
1999 |
3 | EE | Michael Wehr,
John S. Pezaris,
Maneesh Sahani:
Simultaneous paired intracellular and tetrode recordings for evaluating the performance of spike sorting algorithms.
Neurocomputing 26-27: 1061-1068 (1999) |
2 | EE | John S. Pezaris,
Maneesh Sahani,
Richard A. Andersen:
Response-locked changes in auto- and cross-covariations in parietal cortex.
Neurocomputing 26-27: 471-476 (1999) |
1997 |
1 | | Maneesh Sahani,
John S. Pezaris,
Richard A. Andersen:
On the Separation of Signals from Neighboring Cells in Tetrode Recordings.
NIPS 1997 |