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CBMM Memos were established in 2014 as a mechanism for our center to share research results with the wider scientific community. Click here to read more about the memos and to see a full list of the memos.

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Found 9 results

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Filters: Author is Jim Mutch [Clear All Filters]

2010

Mutch, J., Knoblich, U. & Poggio, T. CNS (“Cortical Network Simulator”): a GPU-based framework for simulating cortically-organized networks. (2010).

cns.tar (1.46 MB)

MIT-CSAIL-TR-2010-013.pdf (389.38 KB)

(last version before switch to classdef syntax) (1.05 MB)

Mutch, J. hmin: A Minimal HMAX Implementation. (2010).

2012

Mutch, J. & Turaga, S. cnpkg: 3-D Convolutional Network Package for CNS. (2012).

cnpkg.tar (50 KB)

Mutch, J. HMAX Package for CNS. (2012).

hmax.tar (210 KB)

2013

Anselmi, F. et al. Unsupervised Learning of Invariant Representations in Hierarchical Architectures. (2013).

1311.4158v2.pdf (3.78 MB)

2014

Poggio, T., Mutch, J. & Isik, L. Computational role of eccentricity dependent cortical magnification. (2014).

CBMM-Memo-017.pdf (1.04 MB)

Anselmi, F. et al. Unsupervised learning of invariant representations with low sample complexity: the magic of sensory cortex or a new framework for machine learning?. (2014).

CBMM Memo No. 001 (940.36 KB)

2015

Anselmi, F. et al. Unsupervised learning of invariant representations. Theoretical Computer Science (2015). doi:10.1016/j.tcs.2015.06.048

2017

Mutch, J. et al. Computational and Cognitive Neuroscience of Vision 85-104 (Springer, 2017).