Building machines that adapt and compute like brains
Related Experiment Video
Updated: Feb 15, 2026

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
Published on: March 10, 2011
Nikolaus Kriegeskorte1, Robert M Mok1
1Medical Research Council Cognition and Brain Sciences Unit,Cambridge,CB2 7EF,United Kingdom.Nikolaus.Kriegeskorte@mrc-cbu.cam.ac.ukRobert.Mok@mrc-cbu.cam.ac.uk.
Abstract:
Building machines that learn and think like humans is essential not only for cognitive science, but also for computational neuroscience, whose ultimate goal is to understand how cognition is implemented in biological brains. A new cognitive computational neuroscience should build cognitive-level and neural-level models, understand their relationships, and test both types of models with both brain and behavioral data.
Related Concept Videos
Machines
A free-body diagram of the...
Movement Joints in Buildings
The simplest type of movement joints, working joints, are...
Machines: Problem Solving II
Types of Building Stone
Igneous rocks are formed from the solidification of magma or lava. An example is granite, known for its durability and resistance to weathering, making it ideal for parts of...
Machines: Problem Solving I
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
Design Example: Sustainability in Concrete Building
There are multiple approaches to achieve sustainability in a commercial concrete building. For instance, construct a concrete parking area under the building, utilizing pervious concrete paver blocks in open areas to facilitate rainwater collection through an underground...

