Researchers have shown that it is possible to train artificial neural networks directly on an optical chip. The significant breakthrough demonstrates that an optical circuit can perform a critical function of an electronics-based ...
Optics & Photonics
Jul 19, 2018
6
1800
Machine learning techniques have so far proved to be very promising for the analysis of data in several fields, with many potential applications. However, researchers have found that applying these methods to quantum physics ...
Researchers led by Christi Gendron at the University of Michigan have found the link between death perception and accelerated aging in flies. Their new study, published June 13 in the open access journal PLOS Biology shows ...
Plants & Animals
Jun 13, 2023
5
1235
Salamandra robotica II is a last generation amphibious robot developed by the Biorobotics Laboratory at EPFL (École Polytechnique Fédérale de Lausanne). It is the guest of honor at the booth of Syrobo, the founder of Innorobo, ...
Robotics
Mar 19, 2013
6
0
A new information-theoretical model of human sensory perception and memory sheds light on some peculiarities of the nervous system.
Mathematics
Oct 5, 2012
9
0
Everyone knows it: An entire box of Girl Scout cookies counts as one serving, right?
Molecular & Computational biology
Jun 9, 2020
0
969
Researchers have examined the visual response of 113 individuals when observing prehistoric ceramics belonging to different styles and societies. The ceramics analysed cover 4,000 years (from 4,000 B.C. to the change of era) ...
Evolution
Mar 8, 2019
0
1267
(PhysOrg.com) -- Even simple insects can generate quite different movement patterns with their six legs. The animal uses various gaits depending on whether it crawls uphill or downhill, slowly or fast. Scientists from Gottingen ...
General Physics
Jan 17, 2010
0
0
In work that someday may lead to the development of novel types of nanoscale electronic devices, an interdisciplinary team of researchers at the California Institute of Technology has combined DNA's talent for self-assembly ...
Nanomaterials
Nov 10, 2009
0
0
When it comes to courtship, it is important to ensure that one is interacting with a member of the same species. Animals use multiple sensory systems to confirm that potential mates are indeed suitable, with acoustic communication ...
Plants & Animals
Feb 3, 2023
0
451
In neuroscience, a neural network describes a population of physically interconnected neurons or a group of disparate neurons whose inputs or signalling targets define a recognizable circuit. Communication between neurons often involves an electrochemical process. The interface through which they interact with surrounding neurons usually consists of several dendrites (input connections), which are connected via synapses to other neurons, and one axon (output connection). If the sum of the input signals surpasses a certain threshold, the neuron sends an action potential (AP) at the axon hillock and transmits this electrical signal along the axon.
In contrast, a neuronal circuit is a functional entity of interconnected neurons that influence each other (similar to a control loop in cybernetics).
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