Publication
Export 897 results:
Infants’ Reasoning about Affiliation and Caregiving. Cognitive Development Society (CDS) Biennial Meeting (2015).
Infants’ Reasoning about Affiliation and Caregiving. Cognitive Development Society (CDS) | More on Development workshop (2015).
Infants’ sensitivity to shape changes. Cognitive Development Society Pre-Conference on the Development of Spatial Thinking (2015).
Inferring structured connectivity from spike trains under negative-binomial generalized linear models. (2015).
cosyne2015a.pdf (384.83 KB)
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Information Selection in Noisy Environments with Large Action Spaces. 9th Biennial Conference of the Cognitive Development Society Columbus, OH, (2015).
Intelligent Information Loss: The Coding of Facial Identity, Head Pose, and Non-Face Information in the Macaque Face Patch System. The Journal of Neuroscience 35, (2015).
On Invariance and Selectivity in Representation Learning. (2015).
CBMM Memo No. 029 (812.07 KB)
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex. (2015).
modularity_dataset_ver1.tar.gz (36.14 MB)
![application/octet-stream Binary Data](/modules/file/icons/application-octet-stream.png)
The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex. PLOS Computational Biology 11, e1004390 (2015).
journal.pcbi_.1004390.pdf (2.04 MB)
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Invariant representations for action recognition in the visual system. Vision Sciences Society 15, (2015).
Invariant representations for action recognition in the visual system. Computational and Systems Neuroscience (2015).
Isolating angle in infants' detection of shape. (2015).
SRCD_2015_Dillonetal.pdf (5.01 MB)
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
I-theory on depth vs width: hierarchical function composition. (2015).
cbmm_memo_041.pdf (1.18 MB)
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images. International Conference of Computer Vision (2015). at <www.stat.ucla.edu/~junhua.mao/projects/child_learning.html>
child_learning_iccv2015.pdf (1.16 MB)
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Learning with a Wasserstein Loss. Advances in Neural Information Processing Systems (NIPS 2015) 28 (2015). at <http://arxiv.org/abs/1506.05439>
Learning with a Wasserstein Loss_1506.05439v2.pdf (2.57 MB)
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Learning with Group Invariant Features: A Kernel Perspective. NIPS 2015 (2015). at <https://papers.nips.cc/paper/5798-learning-with-group-invariant-features-a-kernel-perspective>
LearningInvarianceKernel_NIPS2015.pdf (292.18 KB)
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Learning with incremental iterative regularization. NIPS 2015 (2015). at <https://papers.nips.cc/paper/6015-learning-with-incremental-iterative-regularization>
Learning with Incremental Iterative Regularization_1405.0042v2.pdf (504.66 KB)
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Less is More: Nyström Computational Regularization. NIPS 2015 (2015). at <https://papers.nips.cc/paper/5936-less-is-more-nystrom-computational-regularization>
Less is More- Nystr ̈om Computational Regularization_1507.04717v4.pdf (287.14 KB)
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Lust and the Turing test [Nature] . (2015). at <http://blogs.nature.com/aviewfromthebridge/2015/05/27/lust-and-the-turing-test/>
Lust and the Turing Test.pdf (203.1 KB)
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Metareasoning in Symbolic Domains. NIPS Workshop | Bounded Optimality and Rational Metareasoning (2015). at <https://sites.google.com/site/boundedoptimalityworkshop/>
metareasoning_submitted.pdf (491.95 KB)
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
A model for full local image interpretation. Cognitive Science Society (2015).
Full object interpretation CogSci 2015 Print version.pdf (707.34 KB)
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Model-based Story Summary. 6th Workshop on Computational Models of Narrative (2015). doi:10.4230/OASIcs.CMN.2015.157
. Monkeys head-gaze following is fast, precise and not fully suppressible. Proc Biol Sci 282, 20151020 (2015).
Marciniak et al 2015 Proc R Soc B Monkeys head gaze following is fast precise and not fully suppressible.pdf (7.07 MB)
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Neural ensemble communities: open-source approaches to hardware for large-scale electrophysiology. Current Opinion in Neurobiology 32, 53 - 59 (2015).