 | 2011 |
|---|
| 10 |       | Jacquelyn A. Shelton,
Jörg Bornschein,
Abdul-Saboor Sheikh,
Pietro Berkes,
Jörg Lücke:
Select and Sample - A Model of Efficient Neural Inference and Learning.
NIPS 2011: 2618-2626 |
| 9 | | Laurenz Wiskott,
Pietro Berkes,
Mathias Franzius,
Henning Sprekeler,
Niko Wilbert:
Slow feature analysis.
Scholarpedia 6(4): 5282 (2011) |
| 2009 |
|---|
| 8 | | Pietro Berkes,
Ben White,
József Fiser:
No evidence for active sparsification in the visual cortex.
NIPS 2009: 108-116 |
| 7 | | Pietro Berkes,
Richard E. Turner,
Maneesh Sahani:
A Structured Model of Video Reproduces Primary Visual Cortical Organisation.
PLoS Computational Biology 5(9): (2009) |
| 2008 |
|---|
| 6 | | Pietro Berkes,
Frank Wood,
Jonathan Pillow:
Characterizing neural dependencies with copula models.
NIPS 2008: 129-136 |
| 2007 |
|---|
| 5 | | Pietro Berkes,
Richard Turner,
Maneesh Sahani:
On Sparsity and Overcompleteness in Image Models.
NIPS 2007 |
| 2006 |
|---|
| 4 | | Tobias Blaschke,
Pietro Berkes,
Laurenz Wiskott:
What Is the Relation Between Slow Feature Analysis and Independent Component Analysis?
Neural Computation 18(10): 2495-2508 (2006) |
| 3 | | Pietro Berkes,
Laurenz Wiskott:
On the Analysis and Interpretation of Inhomogeneous Quadratic Forms as Receptive Fields.
Neural Computation 18(8): 1868-1895 (2006) |
| 2005 |
|---|
| 2 | | Pietro Berkes:
Handwritten Digit Recognition with Nonlinear Fisher Discriminant Analysis.
ICANN (2) 2005: 285-287 |
| 2002 |
|---|
| 1 | | Pietro Berkes,
Laurenz Wiskott:
Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties.
ICANN 2002: 81-86 |
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