CBMM Research Meeting: Panel Discussion with Niko Kriegeskorte - Deep Networks, The Brain and AI - YouTube
CBMM Research Meeting: Panel discussion with Niko Kriegeskorte - Deep networks, the brain and AI | The Center for Brains, Minds & Machines
Spatial independent component analysis of functional magnetic resonance imaging time-series: characterization of the cortical components - ScienceDirect
Nikolaus Kriegeskorte (@KriegeskorteLab) / Twitter
Cambridge Neuroscience Event :: The Cambridge 7T MRI workshop
Nikolaus Kriegeskorte | Columbia MR Research Center
Nikolaus Kriegeskorte | Visual Inference Lab | Kriegeskorte
Nikolaus Kriegeskorte | Center for Neural Engineering and Computation
Columbia University's Zuckerman Institute on Twitter: "For our own Niko Kriegeskorte (@KriegeskorteLab), to truly decode the brain we must bring together cognitive science, computational #neuroscience and #AI. Learn more on the latest #BrainInspired ...
The Charest Lab
BI 061 Jörn Diedrichsen and Niko Kriegeskorte: Brain Representations | Brain Inspired
Nikolaus Kriegeskorte – The Conversation
TSN: Representational similarity analysis of inferior temporal object population codes
Nikolaus Kriegeskorte will livestream "Peeling the Onion of Brain Representations" on June 11 - The Brains Blog
Nikolaus KRIEGESKORTE | Professor | PhD | Columbia University, NY | CU | Departments of Psychology and Neuroscience
Nikolaus Kriegeskorte, PhD | Columbia | Zuckerman Institute
Nikolaus KRIEGESKORTE | Professor | PhD | Columbia University, NY | CU | Departments of Psychology and Neuroscience - Page 8
Nikolaus Kriegeskorte on Twitter: "That German uni feeling at #ccneuro2019 https://t.co/VvKbsd2ZHw" / Twitter
Nikolaus Kriegeskorte (@KriegeskorteLab) / Twitter
Lab – Kietzmann Lab
Nikolaus KRIEGESKORTE | Professor | PhD | Columbia University, NY | CU | Departments of Psychology and Neuroscience
Loop | Nikolaus Kriegeskorte
Nikolaus Kriegeskorte on Twitter: "Can we incentivise early (and continual) sharing of data, stimuli, tasks, analyses, and models by giving credit through authorship? For example, sharers could define parameters (eg a time
