From 0b220deb1a56a0974824b39811405bbcbec672eb Mon Sep 17 00:00:00 2001 From: EnfxcFCb6 Date: Wed, 9 Jul 2025 16:13:10 -0400 Subject: [PATCH 1/2] Standardized README to Markdown format --- README.md | 51 +++++++++++++++++++++++++++++++++++++++++++++++++++ index.html | 49 ------------------------------------------------- 2 files changed, 51 insertions(+), 49 deletions(-) create mode 100644 README.md delete mode 100644 index.html diff --git a/README.md b/README.md new file mode 100644 index 0000000..6323e7e --- /dev/null +++ b/README.md @@ -0,0 +1,51 @@ +# For the paper: + +Diesmann M, Gewaltig MO, Aertsen A (1999) Conditions for stable +propagation of synchronous spiking in cortical neural networks. +*Nature* 402:529-533 + +## Abstract + +The classical view of neural coding has emphasized the importance of +information carried by the rate at which neurons discharge action +potentials. More recent proposals that information may be carried by +precise spike timing have been challenged by the assumption that these +neurons operate in a noisy fashion—presumably reflecting fluctuations +in synaptic input and, thus, incapable of transmitting signals with +millisecond fidelity. Here we show that precisely synchronized action +potentials can propagate within a model of cortical network activity +that recapitulates many of the features of biological systems. An +attractor, yielding a stable spiking precision in the (sub)millisecond +range, governs the dynamics of synchronization. Our results indicate +that a combinatorial neural code, based on rapid associations of +groups of neurons co-ordinating their activity at the single spike +level, is possible within a cortical-like network. + +Brian simulator models are available at this web page: + +[http://briansimulator.org/docs/examples-frompapers_Diesmann_et_al_1999.html](http://briansimulator.org/docs/examples-frompapers_Diesmann_et_al_1999.html) + +and here is a similar but longer one with functions and a class +definition: + +[http://briansimulator.org/docs/examples-frompapers_Diesmann_et_al_1999_longer.html](http://briansimulator.org/docs/examples-frompapers_Diesmann_et_al_1999_longer.html) + +The simulation generates an image similar to Fig. 1d in the paper, +albeit at a faster synaptic delay than the papers 5ms one: + +![screenshot](./screenshot.png) + +If n is reduced to 48 on line 18 (the PulsePacket line) a figure +similar to 1e is produced: + +![screenshot2](./screenshot2.png) + +This simulation requires Brian which can be downloaded and installed +from the instructions available at [http://www.briansimulator.org/](http://www.briansimulator.org/) + +For support on installing and using Brian simulations there is a +support group at [https://groups.google.com/group/briansupport](https://groups.google.com/group/briansupport). + +--- + +2025-07-09: Converted README to Markdown. \ No newline at end of file diff --git a/index.html b/index.html deleted file mode 100644 index 6f31486..0000000 --- a/index.html +++ /dev/null @@ -1,49 +0,0 @@ -
-For the paper:
-
-Diesmann M, Gewaltig MO, Aertsen A (1999) Conditions for stable
-propagation of synchronous spiking in cortical neural networks.
-Nature 402:529-533
-
-Abstract:
-
-The classical view of neural coding has emphasized the importance of
-information carried by the rate at which neurons discharge action
-potentials. More recent proposals that information may be carried by
-precise spike timing have been challenged by the assumption that these
-neurons operate in a noisy fashion--presumably reflecting fluctuations
-in synaptic input and, thus, incapable of transmitting signals with
-millisecond fidelity. Here we show that precisely synchronized action
-potentials can propagate within a model of cortical network activity
-that recapitulates many of the features of biological systems. An
-attractor, yielding a stable spiking precision in the (sub)millisecond
-range, governs the dynamics of synchronization. Our results indicate
-that a combinatorial neural code, based on rapid associations of
-groups of neurons co-ordinating their activity at the single spike
-level, is possible within a cortical-like network.
-
-Brian simulator models are available at this web page:
-
-http://briansimulator.org/docs/examples-frompapers_Diesmann_et_al_1999.html
-
-and here is a similar but longer one with functions and a class
-definition:
-
-http://briansimulator.org/docs/examples-frompapers_Diesmann_et_al_1999_longer.html
-
-The simulation generates an image similar to Fig. 1d in the paper,
-albeit at a faster synaptic delay than the papers 5ms one:
-
-screenshot
-
-If n is reduced to 48 on line 18 (the PulsePacket line) a figure
-similar to 1e is produced:
-
-screenshot2
-
-This simulation requires Brian which can be downloaded and installed
-from the instructions available at http://www.briansimulator.org/
-
-For support on installing and using Brian simulations there is a
-support group at https://groups.google.com/group/briansupport.
-
From f2052f98403f92c94cf94c1f1ea127431ef19583 Mon Sep 17 00:00:00 2001 From: rsakai Date: Thu, 10 Jul 2025 15:37:53 -0400 Subject: [PATCH 2/2] Update README.md --- README.md | 46 +++++++++++++++++++++++----------------------- 1 file changed, 23 insertions(+), 23 deletions(-) diff --git a/README.md b/README.md index 6323e7e..b601594 100644 --- a/README.md +++ b/README.md @@ -1,42 +1,42 @@ # For the paper: -Diesmann M, Gewaltig MO, Aertsen A (1999) Conditions for stable -propagation of synchronous spiking in cortical neural networks. +Diesmann M, Gewaltig MO, Aertsen A (1999) Conditions for stable +propagation of synchronous spiking in cortical neural networks. *Nature* 402:529-533 ## Abstract -The classical view of neural coding has emphasized the importance of -information carried by the rate at which neurons discharge action -potentials. More recent proposals that information may be carried by -precise spike timing have been challenged by the assumption that these -neurons operate in a noisy fashion—presumably reflecting fluctuations -in synaptic input and, thus, incapable of transmitting signals with -millisecond fidelity. Here we show that precisely synchronized action -potentials can propagate within a model of cortical network activity -that recapitulates many of the features of biological systems. An -attractor, yielding a stable spiking precision in the (sub)millisecond -range, governs the dynamics of synchronization. Our results indicate -that a combinatorial neural code, based on rapid associations of -groups of neurons co-ordinating their activity at the single spike +The classical view of neural coding has emphasized the importance of +information carried by the rate at which neurons discharge action +potentials. More recent proposals that information may be carried by +precise spike timing have been challenged by the assumption that these +neurons operate in a noisy fashion—presumably reflecting fluctuations +in synaptic input and, thus, incapable of transmitting signals with +millisecond fidelity. Here we show that precisely synchronized action +potentials can propagate within a model of cortical network activity +that recapitulates many of the features of biological systems. An +attractor, yielding a stable spiking precision in the (sub)millisecond +range, governs the dynamics of synchronization. Our results indicate +that a combinatorial neural code, based on rapid associations of +groups of neurons co-ordinating their activity at the single spike level, is possible within a cortical-like network. -Brian simulator models are available at this web page: +Brian simulator models are available at this web page: [http://briansimulator.org/docs/examples-frompapers_Diesmann_et_al_1999.html](http://briansimulator.org/docs/examples-frompapers_Diesmann_et_al_1999.html) -and here is a similar but longer one with functions and a class -definition: +and here is a similar but longer one with functions and a class +definition: [http://briansimulator.org/docs/examples-frompapers_Diesmann_et_al_1999_longer.html](http://briansimulator.org/docs/examples-frompapers_Diesmann_et_al_1999_longer.html) -The simulation generates an image similar to Fig. 1d in the paper, -albeit at a faster synaptic delay than the papers 5ms one: +The simulation generates an image similar to Fig. 1d in the paper, +albeit at a faster synaptic delay than the papers 5ms one: ![screenshot](./screenshot.png) -If n is reduced to 48 on line 18 (the PulsePacket line) a figure -similar to 1e is produced: +If n is reduced to 48 on line 18 (the PulsePacket line) a figure +similar to 1e is produced: ![screenshot2](./screenshot2.png) @@ -48,4 +48,4 @@ support group at [https://groups.google.com/group/briansupport](https://groups.g --- -2025-07-09: Converted README to Markdown. \ No newline at end of file +2025-07-09: Converted README to Markdown.