What have we learned about artificial intelligence from studying the brain?
Biol Cybern. 2024 Feb 10. doi: 10.1007/s00422-024-00983-2. Online ahead of print.ABSTRACTNeuroscience and artificial intelligence (AI) share a long, intertwined history. It has been argued that discoveries in neuroscience were (and continue to be) instrumental in driving the development of new AI technology. Scrutinizing these historical claims yields a more nuanced story, where AI researchers were loosely inspired by the brain, but ideas flowed mostly in the other direction.PMID:38337064 | DOI:10.1007/s00422-024-00983-2 (Source: Biological Cybernetics)
Source: Biological Cybernetics - February 10, 2024 Category: Science Authors: Samuel J Gershman Source Type: research
Fluctuation-response relations for integrate-and-fire models with an absolute refractory period
Biol Cybern. 2024 Jan 23. doi: 10.1007/s00422-023-00982-9. Online ahead of print.ABSTRACTWe study the problem of relating the spontaneous fluctuations of a stochastic integrate-and-fire (IF) model to the response of the instantaneous firing rate to time-dependent stimulation if the IF model is endowed with a non-vanishing refractory period and a finite (stereotypical) spike shape. This seemingly harmless addition to the model is shown to complicate the analysis put forward by Lindner Phys. Rev. Lett. (2022), i.e., the incorporation of the reset into the model equation, the Rice-like averaging of the stochastic differential...
Source: Biological Cybernetics - January 23, 2024 Category: Science Authors: Friedrich Puttkammer Benjamin Lindner 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;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;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;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;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;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
