Why an animal needs a brain
Anim Cogn. 2023 Dec 2. doi: 10.1007/s10071-023-01825-7. Online ahead of print.ABSTRACTIn Principles of Neural Design (2015, MIT Press), inspired by Charles Darwin, Sterling and Laughlin undertook the unfashionable task of distilling principles from facts in the technique-driven, data-saturated domain of neuroscience. Their starting point for deriving the organizing principles of brains are two brainless single-celled organisms, Escherichia coli and Paramecium, and the 302-neuron brain of the nematode Caenorhabditis elegans. The book is an exemplar in how to connect the dots between simpler and (much) more complex organisms...
Source: Animal Cognition - December 2, 2023 Category: Zoology Authors: Peter Sterling Simon Laughlin Source Type: research
Why an animal needs a brain
Anim Cogn. 2023 Dec 2. doi: 10.1007/s10071-023-01825-7. Online ahead of print.ABSTRACTIn Principles of Neural Design (2015, MIT Press), inspired by Charles Darwin, Sterling and Laughlin undertook the unfashionable task of distilling principles from facts in the technique-driven, data-saturated domain of neuroscience. Their starting point for deriving the organizing principles of brains are two brainless single-celled organisms, Escherichia coli and Paramecium, and the 302-neuron brain of the nematode Caenorhabditis elegans. The book is an exemplar in how to connect the dots between simpler and (much) more complex organisms...
Source: Animal Cognition - December 2, 2023 Category: Zoology Authors: Peter Sterling Simon Laughlin Source Type: research
Why an animal needs a brain
Anim Cogn. 2023 Dec 2. doi: 10.1007/s10071-023-01825-7. Online ahead of print.ABSTRACTIn Principles of Neural Design (2015, MIT Press), inspired by Charles Darwin, Sterling and Laughlin undertook the unfashionable task of distilling principles from facts in the technique-driven, data-saturated domain of neuroscience. Their starting point for deriving the organizing principles of brains are two brainless single-celled organisms, Escherichia coli and Paramecium, and the 302-neuron brain of the nematode Caenorhabditis elegans. The book is an exemplar in how to connect the dots between simpler and (much) more complex organisms...
Source: Animal Cognition - December 2, 2023 Category: Zoology Authors: Peter Sterling Simon Laughlin Source Type: research
Why an animal needs a brain
Anim Cogn. 2023 Dec 2. doi: 10.1007/s10071-023-01825-7. Online ahead of print.ABSTRACTIn Principles of Neural Design (2015, MIT Press), inspired by Charles Darwin, Sterling and Laughlin undertook the unfashionable task of distilling principles from facts in the technique-driven, data-saturated domain of neuroscience. Their starting point for deriving the organizing principles of brains are two brainless single-celled organisms, Escherichia coli and Paramecium, and the 302-neuron brain of the nematode Caenorhabditis elegans. The book is an exemplar in how to connect the dots between simpler and (much) more complex organisms...
Source: Animal Cognition - December 2, 2023 Category: Zoology Authors: Peter Sterling Simon Laughlin Source Type: research
Why an animal needs a brain
Anim Cogn. 2023 Dec 2. doi: 10.1007/s10071-023-01825-7. Online ahead of print.ABSTRACTIn Principles of Neural Design (2015, MIT Press), inspired by Charles Darwin, Sterling and Laughlin undertook the unfashionable task of distilling principles from facts in the technique-driven, data-saturated domain of neuroscience. Their starting point for deriving the organizing principles of brains are two brainless single-celled organisms, Escherichia coli and Paramecium, and the 302-neuron brain of the nematode Caenorhabditis elegans. The book is an exemplar in how to connect the dots between simpler and (much) more complex organisms...
Source: Animal Cognition - December 2, 2023 Category: Zoology Authors: Peter Sterling Simon Laughlin Source Type: research
Why an animal needs a brain
Anim Cogn. 2023 Dec 2. doi: 10.1007/s10071-023-01825-7. Online ahead of print.ABSTRACTIn Principles of Neural Design (2015, MIT Press), inspired by Charles Darwin, Sterling and Laughlin undertook the unfashionable task of distilling principles from facts in the technique-driven, data-saturated domain of neuroscience. Their starting point for deriving the organizing principles of brains are two brainless single-celled organisms, Escherichia coli and Paramecium, and the 302-neuron brain of the nematode Caenorhabditis elegans. The book is an exemplar in how to connect the dots between simpler and (much) more complex organisms...
Source: Animal Cognition - December 2, 2023 Category: Zoology Authors: Peter Sterling Simon Laughlin Source Type: research
Why an animal needs a brain
Anim Cogn. 2023 Dec 2. doi: 10.1007/s10071-023-01825-7. Online ahead of print.ABSTRACTIn Principles of Neural Design (2015, MIT Press), inspired by Charles Darwin, Sterling and Laughlin undertook the unfashionable task of distilling principles from facts in the technique-driven, data-saturated domain of neuroscience. Their starting point for deriving the organizing principles of brains are two brainless single-celled organisms, Escherichia coli and Paramecium, and the 302-neuron brain of the nematode Caenorhabditis elegans. The book is an exemplar in how to connect the dots between simpler and (much) more complex organisms...
Source: Animal Cognition - December 2, 2023 Category: Zoology Authors: Peter Sterling Simon Laughlin Source Type: research
Chemical cognition: chemoconnectomics and convergent evolution of integrative systems in animals
Anim Cogn. 2023 Nov 28. doi: 10.1007/s10071-023-01833-7. Online ahead of print.ABSTRACTNeurons underpin cognition in animals. However, the roots of animal cognition are elusive from both mechanistic and evolutionary standpoints. Two conceptual frameworks both highlight and promise to address these challenges. First, we discuss evidence that animal neural and other integrative systems evolved more than once (convergent evolution) within basal metazoan lineages, giving us unique experiments by Nature for future studies. The most remarkable examples are neural systems in ctenophores and neuroid-like systems in placozoans and ...
Source: Animal Cognition - November 28, 2023 Category: Zoology Authors: Leonid L Moroz Daria Y Romanova Source Type: research
Chemical cognition: chemoconnectomics and convergent evolution of integrative systems in animals
Anim Cogn. 2023 Nov 28. doi: 10.1007/s10071-023-01833-7. Online ahead of print.ABSTRACTNeurons underpin cognition in animals. However, the roots of animal cognition are elusive from both mechanistic and evolutionary standpoints. Two conceptual frameworks both highlight and promise to address these challenges. First, we discuss evidence that animal neural and other integrative systems evolved more than once (convergent evolution) within basal metazoan lineages, giving us unique experiments by Nature for future studies. The most remarkable examples are neural systems in ctenophores and neuroid-like systems in placozoans and ...
Source: Animal Cognition - November 28, 2023 Category: Zoology Authors: Leonid L Moroz Daria Y Romanova Source Type: research
Chemical cognition: chemoconnectomics and convergent evolution of integrative systems in animals
Anim Cogn. 2023 Nov 28. doi: 10.1007/s10071-023-01833-7. Online ahead of print.ABSTRACTNeurons underpin cognition in animals. However, the roots of animal cognition are elusive from both mechanistic and evolutionary standpoints. Two conceptual frameworks both highlight and promise to address these challenges. First, we discuss evidence that animal neural and other integrative systems evolved more than once (convergent evolution) within basal metazoan lineages, giving us unique experiments by Nature for future studies. The most remarkable examples are neural systems in ctenophores and neuroid-like systems in placozoans and ...
Source: Animal Cognition - November 28, 2023 Category: Zoology Authors: Leonid L Moroz Daria Y Romanova Source Type: research
Chemical cognition: chemoconnectomics and convergent evolution of integrative systems in animals
Anim Cogn. 2023 Nov 28. doi: 10.1007/s10071-023-01833-7. Online ahead of print.ABSTRACTNeurons underpin cognition in animals. However, the roots of animal cognition are elusive from both mechanistic and evolutionary standpoints. Two conceptual frameworks both highlight and promise to address these challenges. First, we discuss evidence that animal neural and other integrative systems evolved more than once (convergent evolution) within basal metazoan lineages, giving us unique experiments by Nature for future studies. The most remarkable examples are neural systems in ctenophores and neuroid-like systems in placozoans and ...
Source: Animal Cognition - November 28, 2023 Category: Zoology Authors: Leonid L Moroz Daria Y Romanova Source Type: research
Basal cognition: shifting the center of gravity (again)
Anim Cogn. 2023 Nov 6. doi: 10.1007/s10071-023-01832-8. Online ahead of print.NO ABSTRACTPMID:37926765 | DOI:10.1007/s10071-023-01832-8 (Source: Animal Cognition)
Source: Animal Cognition - November 5, 2023 Category: Zoology Authors: Pamela Lyon Ken Cheng Source Type: research
Basal cognition: shifting the center of gravity (again)
Anim Cogn. 2023 Nov 6. doi: 10.1007/s10071-023-01832-8. Online ahead of print.NO ABSTRACTPMID:37926765 | DOI:10.1007/s10071-023-01832-8 (Source: Animal Cognition)
Source: Animal Cognition - November 5, 2023 Category: Zoology Authors: Pamela Lyon Ken Cheng Source Type: research
Basal cognition: shifting the center of gravity (again)
Anim Cogn. 2023 Nov 6. doi: 10.1007/s10071-023-01832-8. Online ahead of print.NO ABSTRACTPMID:37926765 | DOI:10.1007/s10071-023-01832-8 (Source: Animal Cognition)
Source: Animal Cognition - November 5, 2023 Category: Zoology Authors: Pamela Lyon Ken Cheng Source Type: research
Basal cognition: shifting the center of gravity (again)
Anim Cogn. 2023 Nov 6. doi: 10.1007/s10071-023-01832-8. Online ahead of print.NO ABSTRACTPMID:37926765 | DOI:10.1007/s10071-023-01832-8 (Source: Animal Cognition)
Source: Animal Cognition - November 5, 2023 Category: Zoology Authors: Pamela Lyon Ken Cheng Source Type: research
