python-pynn-devel-0.10.0-4.red80> K KtĉH2!c31^ Wge:support@red-soft.ru  WgdS#h Gɶ&tw'< ϔ7ҫrQx#L2@eb)cq13!jI^<ޑk9^)=/Gaуn*d%V wa-B6Y)[K~k]ݑS(OQu6S޴rm_AfMᣣ̡Z$ZP6Cj`Ζ@Z20>: ? d # p48PT]fm v      48dx( 8(9,:lGHIXY\]^bd Ge Lf Ql Tt lu pv t x |   Cpython-pynn-devel0.10.04.red80A package for simulator-independent specification of neuronal network modelsPyNN (pronounced 'pine') is a simulator-independent language for building neuronal network models. In other words, you can write the code for a model once, using the PyNN API and the Python programming language, and then run it without modification on any simulator that PyNN supports (currently NEURON, NEST and Brian) and on a number of neuromorphic hardware systems. The PyNN API aims to support modelling at a high-level of abstraction (populations of neurons, layers, columns and the connections between them) while still allowing access to the details of individual neurons and synapses when required. PyNN provides a library of standard neuron, synapse and synaptic plasticity models, which have been verified to work the same on the different supported simulators. PyNN also provides a set of commonly-used connectivity algorithms (e.g. all-to-all, random, distance-dependent, small-world) but makes it easy to provide your own connectivity in a simulator-independent way. Even if you don’t wish to run simulations on multiple simulators, you may benefit from writing your simulation code using PyNN’s powerful, high-level interface. In this case, you can use any neuron or synapse model supported by your simulator, and are not restricted to the standard models. Documentation: http://neuralensemble.org/docs/PyNN/ Mailing list: https://groups.google.com/forum/?fromgroups#!forum/neuralensemble This package supports the NEURON, NEST, and Brian simulators.cistapel80.red-soft.ru$RED SOFTRED SOFTCeCILLRED SOFTUnspecifiedhttp://neuralensemble.org/PyNN/linuxx86_64$a;839fbd211ee2529008110d701700ea971008e97e849234b4ff6b7ace2b7bfe04rootrootpython-pynn-0.10.0-4.red80.src.rpmpython-pynn-develpython-pynn-devel(x86-64)    python3-pynn(x86-64)rpmlib(CompressedFileNames)rpmlib(FileDigests)rpmlib(PayloadFilesHavePrefix)rpmlib(PayloadIsZstd)0.10.0-4.red803.0.4-14.6.0-14.0-15.4.18-14.18.0cAlexandr Subbotin - 0:0.10.0-4- Build for red800.10.0-4.red800.10.0-4.red80pynn_extensions.h/usr/include/-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protectioncpiozstd19x86_64-redhat-linux-gnuutf-87a6bf156e7e0f84018050037bdb893de85e85d12fa8fcc0d80fd288d3d1d6cdc68cd0b108037667b791fdd01a1434ca800a111bb9ad9e705725726f79bb21b6a?`(/hFk'8"d_>d!@H_N׈1"6ga\ j])[4Ke\.Se>i2 #[z &VR%Zuxf|Rky (ҍ1âz5(8& Ɂ,H& H~ʇ/Ϊt7hz/5OQgiXByT}R_rRQ6@`$M80R,Zi,3à|.d x^'`הԛ?`18AsV:VoRtũإ[Zc{EY#<erl8bWypU/O2zn?2U\n]|n/ѽ_Uo/^ү@'-I)>JAcFd$-T r5C"E)*) c.EN-.ky3$GKU5V(T:1C;ziqP4zG( ر u_mB:[?]閒ѐ*Qnvd V^^ Fá!- +%`"$ȍ 3Tpj 0PbhOhׯ|ɽ xO'@