Multistability in neural systems with random cross-connections
Biol Cybern. 2023 Dec;117(6):485-506. doi: 10.1007/s00422-023-00981-w. Epub 2023 Dec 22.ABSTRACTNeural circuits with multiple discrete attractor states could support a variety of cognitive tasks according to both empirical data and model simulations. We assess the conditions for such multistability in neural systems using a firing rate model framework, in which clusters of similarly responsive neurons are represented as single units, which interact with each other through independent random connections. We explore the range of conditions in which multistability arises via recurrent input from other units while individual u...
Source: Biological Cybernetics - December 22, 2023 Category: Science Authors: Jordan Breffle Subhadra Mokashe Siwei Qiu Paul Miller Source Type: research

Multistability in neural systems with random cross-connections
Biol Cybern. 2023 Dec;117(6):485-506. doi: 10.1007/s00422-023-00981-w. Epub 2023 Dec 22.ABSTRACTNeural circuits with multiple discrete attractor states could support a variety of cognitive tasks according to both empirical data and model simulations. We assess the conditions for such multistability in neural systems using a firing rate model framework, in which clusters of similarly responsive neurons are represented as single units, which interact with each other through independent random connections. We explore the range of conditions in which multistability arises via recurrent input from other units while individual u...
Source: Biological Cybernetics - December 22, 2023 Category: Science Authors: Jordan Breffle Subhadra Mokashe Siwei Qiu Paul Miller Source Type: research

Multistability in neural systems with random cross-connections
Biol Cybern. 2023 Dec 22. doi: 10.1007/s00422-023-00981-w. Online ahead of print.ABSTRACTNeural circuits with multiple discrete attractor states could support a variety of cognitive tasks according to both empirical data and model simulations. We assess the conditions for such multistability in neural systems using a firing rate model framework, in which clusters of similarly responsive neurons are represented as single units, which interact with each other through independent random connections. We explore the range of conditions in which multistability arises via recurrent input from other units while individual units, t...
Source: Biological Cybernetics - December 22, 2023 Category: Science Authors: Jordan Breffle Subhadra Mokashe Siwei Qiu Paul Miller Source Type: research

Multistability in neural systems with random cross-connections
Biol Cybern. 2023 Dec 22. doi: 10.1007/s00422-023-00981-w. Online ahead of print.ABSTRACTNeural circuits with multiple discrete attractor states could support a variety of cognitive tasks according to both empirical data and model simulations. We assess the conditions for such multistability in neural systems using a firing rate model framework, in which clusters of similarly responsive neurons are represented as single units, which interact with each other through independent random connections. We explore the range of conditions in which multistability arises via recurrent input from other units while individual units, t...
Source: Biological Cybernetics - December 22, 2023 Category: Science Authors: Jordan Breffle Subhadra Mokashe Siwei Qiu Paul Miller Source Type: research

Multistability in neural systems with random cross-connections
Biol Cybern. 2023 Dec 22. doi: 10.1007/s00422-023-00981-w. Online ahead of print.ABSTRACTNeural circuits with multiple discrete attractor states could support a variety of cognitive tasks according to both empirical data and model simulations. We assess the conditions for such multistability in neural systems using a firing rate model framework, in which clusters of similarly responsive neurons are represented as single units, which interact with each other through independent random connections. We explore the range of conditions in which multistability arises via recurrent input from other units while individual units, t...
Source: Biological Cybernetics - December 22, 2023 Category: Science Authors: Jordan Breffle Subhadra Mokashe Siwei Qiu Paul Miller Source Type: research

Energy optimisation predicts the capacity of ion buffering in the brain
Biol Cybern. 2023 Dec 16. doi: 10.1007/s00422-023-00980-x. Online ahead of print.ABSTRACTNeurons store energy in the ionic concentration gradients they build across their cell membrane. The amount of energy stored, and hence the work the ions can do by mixing, can be enhanced by the presence of ion buffers in extra- and intracellular space. Buffers act as sources and sinks of ions, however, and unless the buffering capacities for different ion species obey certain relationships, a complete mixing of the ions may be impeded by the physical conditions of charge neutrality and isotonicity. From these conditions, buffering cap...
Source: Biological Cybernetics - December 16, 2023 Category: Science Authors: Reinoud Maex Source Type: research

Energy optimisation predicts the capacity of ion buffering in the brain
Biol Cybern. 2023 Dec 16. doi: 10.1007/s00422-023-00980-x. Online ahead of print.ABSTRACTNeurons store energy in the ionic concentration gradients they build across their cell membrane. The amount of energy stored, and hence the work the ions can do by mixing, can be enhanced by the presence of ion buffers in extra- and intracellular space. Buffers act as sources and sinks of ions, however, and unless the buffering capacities for different ion species obey certain relationships, a complete mixing of the ions may be impeded by the physical conditions of charge neutrality and isotonicity. From these conditions, buffering cap...
Source: Biological Cybernetics - December 16, 2023 Category: Science Authors: Reinoud Maex Source Type: research

Energy optimisation predicts the capacity of ion buffering in the brain
Biol Cybern. 2023 Dec 16. doi: 10.1007/s00422-023-00980-x. Online ahead of print.ABSTRACTNeurons store energy in the ionic concentration gradients they build across their cell membrane. The amount of energy stored, and hence the work the ions can do by mixing, can be enhanced by the presence of ion buffers in extra- and intracellular space. Buffers act as sources and sinks of ions, however, and unless the buffering capacities for different ion species obey certain relationships, a complete mixing of the ions may be impeded by the physical conditions of charge neutrality and isotonicity. From these conditions, buffering cap...
Source: Biological Cybernetics - December 16, 2023 Category: Science Authors: Reinoud Maex Source Type: research

Energy optimisation predicts the capacity of ion buffering in the brain
Biol Cybern. 2023 Dec 16. doi: 10.1007/s00422-023-00980-x. Online ahead of print.ABSTRACTNeurons store energy in the ionic concentration gradients they build across their cell membrane. The amount of energy stored, and hence the work the ions can do by mixing, can be enhanced by the presence of ion buffers in extra- and intracellular space. Buffers act as sources and sinks of ions, however, and unless the buffering capacities for different ion species obey certain relationships, a complete mixing of the ions may be impeded by the physical conditions of charge neutrality and isotonicity. From these conditions, buffering cap...
Source: Biological Cybernetics - December 16, 2023 Category: Science Authors: Reinoud Maex Source Type: research

Energy optimisation predicts the capacity of ion buffering in the brain
Biol Cybern. 2023 Dec 16. doi: 10.1007/s00422-023-00980-x. Online ahead of print.ABSTRACTNeurons store energy in the ionic concentration gradients they build across their cell membrane. The amount of energy stored, and hence the work the ions can do by mixing, can be enhanced by the presence of ion buffers in extra- and intracellular space. Buffers act as sources and sinks of ions, however, and unless the buffering capacities for different ion species obey certain relationships, a complete mixing of the ions may be impeded by the physical conditions of charge neutrality and isotonicity. From these conditions, buffering cap...
Source: Biological Cybernetics - December 16, 2023 Category: Science Authors: Reinoud Maex Source Type: research

Energy optimisation predicts the capacity of ion buffering in the brain
Biol Cybern. 2023 Dec 16. doi: 10.1007/s00422-023-00980-x. Online ahead of print.ABSTRACTNeurons store energy in the ionic concentration gradients they build across their cell membrane. The amount of energy stored, and hence the work the ions can do by mixing, can be enhanced by the presence of ion buffers in extra- and intracellular space. Buffers act as sources and sinks of ions, however, and unless the buffering capacities for different ion species obey certain relationships, a complete mixing of the ions may be impeded by the physical conditions of charge neutrality and isotonicity. From these conditions, buffering cap...
Source: Biological Cybernetics - December 16, 2023 Category: Science Authors: Reinoud Maex Source Type: research

Four attributes of intelligence, a thousand questions
Biol Cybern. 2023 Dec 7. doi: 10.1007/s00422-023-00979-4. Online ahead of print.ABSTRACTJeff Hawkins is one of those rare individuals who speaks the languages of both AI and neuroscience. In his recent book, "A Thousand Brains: A New Theory of Intelligence", Hawkins proposes that current learning algorithms lack four attributes which will be necessary for true machine intelligence. Here we demonstrate that a minimal learning system which satisfies all four points can be constructed using only simple, classical machine learning techniques. We illustrate that such a system falls short of biological intelligence in some impor...
Source: Biological Cybernetics - December 7, 2023 Category: Science Authors: Matthieu Bardal Eric Chalmers Source Type: research

Four attributes of intelligence, a thousand questions
Biol Cybern. 2023 Dec 7. doi: 10.1007/s00422-023-00979-4. Online ahead of print.ABSTRACTJeff Hawkins is one of those rare individuals who speaks the languages of both AI and neuroscience. In his recent book, "A Thousand Brains: A New Theory of Intelligence", Hawkins proposes that current learning algorithms lack four attributes which will be necessary for true machine intelligence. Here we demonstrate that a minimal learning system which satisfies all four points can be constructed using only simple, classical machine learning techniques. We illustrate that such a system falls short of biological intelligence in some impor...
Source: Biological Cybernetics - December 7, 2023 Category: Science Authors: Matthieu Bardal Eric Chalmers Source Type: research

Four attributes of intelligence, a thousand questions
Biol Cybern. 2023 Dec 7. doi: 10.1007/s00422-023-00979-4. Online ahead of print.ABSTRACTJeff Hawkins is one of those rare individuals who speaks the languages of both AI and neuroscience. In his recent book, "A Thousand Brains: A New Theory of Intelligence", Hawkins proposes that current learning algorithms lack four attributes which will be necessary for true machine intelligence. Here we demonstrate that a minimal learning system which satisfies all four points can be constructed using only simple, classical machine learning techniques. We illustrate that such a system falls short of biological intelligence in some impor...
Source: Biological Cybernetics - December 7, 2023 Category: Science Authors: Matthieu Bardal Eric Chalmers Source Type: research

Four attributes of intelligence, a thousand questions
Biol Cybern. 2023 Dec 7. doi: 10.1007/s00422-023-00979-4. Online ahead of print.ABSTRACTJeff Hawkins is one of those rare individuals who speaks the languages of both AI and neuroscience. In his recent book, "A Thousand Brains: A New Theory of Intelligence", Hawkins proposes that current learning algorithms lack four attributes which will be necessary for true machine intelligence. Here we demonstrate that a minimal learning system which satisfies all four points can be constructed using only simple, classical machine learning techniques. We illustrate that such a system falls short of biological intelligence in some impor...
Source: Biological Cybernetics - December 7, 2023 Category: Science Authors: Matthieu Bardal Eric Chalmers Source Type: research