Artificial Intelligence Stack Exchange
Artificial Intelligence Stack Exchange

Questions tagged [biology]

For questions related to biology in the context of artificial intelligence. For example, use this tag when you want to ask if a certain machine learning model was inspired by some biological counterpart.

28 questions
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2 answers

Are Modular Neural Networks more effective than large, monolithic networks at any tasks?

Modular/Multiple Neural networks (MNNs) revolve around training smaller, independent networks that can feed into each other or another higher network. In principle, the hierarchical organization could allow us to make sense of more complex problem…
Harsh Sikka
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13
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13 answers

Is AI living or non-living?

I'm a bit confused about the definition of life. Can AI systems be called 'living'? Because they can do most of the things that we can. They can even communicate with one another. They are not formed of what we call cells. But, you see, cells are…
Soham
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9
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6 answers

Is artificial life really life or not?

I define Artificial Life as a "simulation" or "copy" of life. However, should it be considered a simulation or copy? If one had motivation and money, someone could theoretically create evolving computers, with a program that allows mutation OR…
codeman
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8
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3 answers

How to model inhibitory synapses in the artificial neuron?

In the brain, some synapses are stimulating and some inhibiting. In the case of artificial neural networks, ReLU erases that property, since in the brain inhibition doesn't correspond to a 0 output, but, more precisely, to a negative input. In the…
Ziemo
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8
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3 answers

Is Artificial Intelligence restricted to electrical based technology?

According to Wikipedia: AI is intelligence exhibited by machines. I have been wondering if with the recent biological advancements, is there already a non-electrical-based "machine" that is programmed by humans in order to be able to behave like…
CPHPython
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7
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4 answers

Which artificial neural network can mimic biological neurons the most?

On the Wikipedia page we can read the basic structure of an artificial neuron (a model of biological neurons) which consist: Dendrites - acts as the input vector, Soma - acts as the summation function, Axon - gets its signal from the summation…
kenorb
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6
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1 answer

How do artificial neural networks store data compared to biological neural networks?

Do scientists know by what mechanism biological brains/biological neural networks store data? I only have a vague notion that we store data in our brains by altering synapses. I also would love a decent description of how a vanilla artificial neural…
conor
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5
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1 answer

What is the importance of the endocannabinoid system for cognitive function?

The endocannabinoid system is a very important function of human biology. Unfortunately, due to the illegality of cannabis, it is a relatively new field of study. I have read a few articles about Google researching the role of dopamine in learning,…
Cannabijoy
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5
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1 answer

What would be a good comprehensive source about the different forms of classical learning in mammals?

I am looking for a source that really discusses the classic rules of learning in depth. So classical conditioning, operant conditioning, imitation learning... I have found an infinite number of books that supposedly discuss these topics, but have…
Gurkenkönig
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4
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2 answers

What is the role of biology in AI?

Biology is used in AI terminology. What are the reasons? What does biology have to do with AI? For instance, why is the genetic algorithm used in AI? Does it fully belong to biology?
Adil Mustafa
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4
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2 answers

What's the difference between biological and artificial evolution?

I am trying to understand the difference between biological and artificial evolution. If we look at it in terms of genetics, in both of them, the selection operation is a key term. What's the difference between biological and artificial evolution?
Germa Vinsmoke
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4
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Is it a good idea to first train a spiking neural network and then convert it to a conventional neural network?

In many papers about artificial spiking neural networks (SNNs), the performance of them is not up to par with traditional ANNs. I have read how some people have converted ANNs to SNNs using various techniques. There has been work done on using…
KaneM
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4
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1 answer

What effect does a negative output of a neuron have on neighbouring neurons?

Artificial neural networks are composed of multiple neurons that are connected to each other. When the output of an artificial neuron is zero, it does not have any effect on neighboring neurons. When the output is positive, the neuron has an effect…
Mahdi Amrollahi
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4
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1 answer

Which loss function is the brain optimizing in order to learn advanced visual skills without expert/human supervision?

In computer vision is very common to use supervised tasks, where datasets have to be manually annotated by humans. Some examples are object classification (class labels), detection (bounding boxes) and segmentation (pixel-level masks). These…
Pablo Messina
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3
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2 answers

How do biological neurons weights get initialized?

When trying to map artificial neuronal models to biological facts it was not possible to find an answer regarding the biological justification of randomly initializing the weights. Perhaps this is not yet known from our current understanding of…
Leo Gallucci
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