Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313892406> ?p ?o ?g. }
- W4313892406 abstract "Abstract Computational modeling has been indispensable for understanding how subcellular neuronal features influence circuit processing. However, the role of dendritic computations in network-level operations remains largely unexplored. This is partly because existing tools do not allow the development of realistic and efficient network models that account for dendrites. Current spiking neural networks, although efficient, are usually quite simplistic, overlooking essential dendritic properties. Conversely, circuit models with morphologically detailed neuron models are computationally costly, thus impractical for large-network simulations. To bridge the gap between these two extremes and facilitate the adoption of dendritic features in spiking neural networks, we introduce Dendrify, an open-source Python package based on Brian 2. Dendrify, through simple commands, automatically generates reduced compartmental neuron models with simplified yet biologically relevant dendritic and synaptic integrative properties. Such models strike a good balance between flexibility, performance, and biological accuracy, allowing us to explore dendritic contributions to network-level functions while paving the way for developing more powerful neuromorphic systems." @default.
- W4313892406 created "2023-01-10" @default.
- W4313892406 creator A5040796668 @default.
- W4313892406 creator A5088598187 @default.
- W4313892406 creator A5090582430 @default.
- W4313892406 date "2023-01-10" @default.
- W4313892406 modified "2023-10-08" @default.
- W4313892406 title "Introducing the Dendrify framework for incorporating dendrites to spiking neural networks" @default.
- W4313892406 cites W101771737 @default.
- W4313892406 cites W1517714302 @default.
- W4313892406 cites W1528942588 @default.
- W4313892406 cites W1780715584 @default.
- W4313892406 cites W1855000541 @default.
- W4313892406 cites W1967324141 @default.
- W4313892406 cites W1968026088 @default.
- W4313892406 cites W1973137648 @default.
- W4313892406 cites W1987510656 @default.
- W4313892406 cites W1999838582 @default.
- W4313892406 cites W2000509838 @default.
- W4313892406 cites W2005156903 @default.
- W4313892406 cites W2008795575 @default.
- W4313892406 cites W2020104881 @default.
- W4313892406 cites W2020587316 @default.
- W4313892406 cites W2024776216 @default.
- W4313892406 cites W2025450984 @default.
- W4313892406 cites W2025695585 @default.
- W4313892406 cites W2042421964 @default.
- W4313892406 cites W2047598284 @default.
- W4313892406 cites W2053567938 @default.
- W4313892406 cites W2061186544 @default.
- W4313892406 cites W2063449449 @default.
- W4313892406 cites W2072949646 @default.
- W4313892406 cites W2096916130 @default.
- W4313892406 cites W2106307904 @default.
- W4313892406 cites W2109161455 @default.
- W4313892406 cites W2110016065 @default.
- W4313892406 cites W2111592937 @default.
- W4313892406 cites W2118213643 @default.
- W4313892406 cites W2121324852 @default.
- W4313892406 cites W2122920674 @default.
- W4313892406 cites W2128342986 @default.
- W4313892406 cites W2128949090 @default.
- W4313892406 cites W2130047390 @default.
- W4313892406 cites W2133258871 @default.
- W4313892406 cites W2135560284 @default.
- W4313892406 cites W2136884792 @default.
- W4313892406 cites W2145935269 @default.
- W4313892406 cites W2146655366 @default.
- W4313892406 cites W2149568171 @default.
- W4313892406 cites W2156640153 @default.
- W4313892406 cites W2164653071 @default.
- W4313892406 cites W2166138822 @default.
- W4313892406 cites W2168779967 @default.
- W4313892406 cites W2174844779 @default.
- W4313892406 cites W2341869960 @default.
- W4313892406 cites W2548724400 @default.
- W4313892406 cites W2551528265 @default.
- W4313892406 cites W2737038943 @default.
- W4313892406 cites W2753962205 @default.
- W4313892406 cites W2781725908 @default.
- W4313892406 cites W2889897651 @default.
- W4313892406 cites W2967100650 @default.
- W4313892406 cites W2969331319 @default.
- W4313892406 cites W2975066924 @default.
- W4313892406 cites W2978368159 @default.
- W4313892406 cites W2979879900 @default.
- W4313892406 cites W2995517822 @default.
- W4313892406 cites W3000447130 @default.
- W4313892406 cites W3002890999 @default.
- W4313892406 cites W3006966652 @default.
- W4313892406 cites W3022915132 @default.
- W4313892406 cites W3036995891 @default.
- W4313892406 cites W3043133474 @default.
- W4313892406 cites W3046044791 @default.
- W4313892406 cites W3099967679 @default.
- W4313892406 cites W3109760662 @default.
- W4313892406 cites W3124745107 @default.
- W4313892406 cites W3130607852 @default.
- W4313892406 cites W3142183260 @default.
- W4313892406 cites W3159931622 @default.
- W4313892406 cites W3162006056 @default.
- W4313892406 cites W3164597088 @default.
- W4313892406 cites W3174205044 @default.
- W4313892406 cites W3193772866 @default.
- W4313892406 cites W3203906445 @default.
- W4313892406 cites W3204077738 @default.
- W4313892406 cites W3207144141 @default.
- W4313892406 cites W3208848212 @default.
- W4313892406 cites W4206475713 @default.
- W4313892406 cites W4212952892 @default.
- W4313892406 cites W4233829187 @default.
- W4313892406 cites W4236368596 @default.
- W4313892406 cites W4238614602 @default.
- W4313892406 cites W4255658673 @default.
- W4313892406 cites W4283749998 @default.
- W4313892406 cites W4286901385 @default.
- W4313892406 cites W4307870246 @default.
- W4313892406 cites W644076287 @default.
- W4313892406 cites W954230352 @default.
- W4313892406 doi "https://doi.org/10.1038/s41467-022-35747-8" @default.