Serre and Kreiman. This Year in Cognitive Neuroscience
Lecture given by Prof. Gabriel Kreiman at Harvard Neuro 140 (Biological and Artificial Intelligence)
Mengmi Zhang proposed a biologically inspired computational algorithm that can find novel objects in scenes without any prior training. Nature Communications 2018.
Zhang M, Feng J, Ma KT, Lim JH, Zhao Q, Kreiman G. (2018) Finding any Waldo: zero-shot invariant and efficient visual search. Nature Communications, 9:3730.
Society for Neuroscience Annual Meeting: Nanosymposium.
The Nature and Significance of Neuronal Variation. Richard Born and Gabriel Kreiman
See also: Gomez-Laberge C, Smolyanskaya A, Nassi JJ, Kreiman G, Born R. (2016). Bottom-Up and Top-Down Input Augment the Variability of Cortical Neurons. Neuron, 91:540-547. PDF