Excitation-inhibition (EI) balance controls excitability, dynamic range, and input gating in many brain circuits. Subsets of synaptic input can be selected or 'gated' by precise modulation of finely tuned EI balance, but assessing the granularity of EI balance requires combinatorial analysis of excitatory and inhibitory inputs. Using patterned optogenetic stimulation of mouse hippocampal CA3 neurons, we show that hundreds of unique CA3 input combinations recruit excitation and inhibition with a nearly identical ratio, demonstrating precise EI balance at the hippocampus. Crucially, the delay between excitation and inhibition decreases as excitatory input increases from a few synapses to tens of synapses. This creates a dynamic millisecond-range window for postsynaptic excitation, controlling membrane depolarization amplitude and timing via subthreshold divisive normalization. We suggest that this combination of precise EI balance and dynamic EI delays forms a general mechanism for millisecond-range input gating and subthreshold gain control in feedforward networks.
Current clamp dataset for CA1 pyramidal neurons stimulated with patterned stimulation of CA3 neurons - part 1
This zipped file contains the first part of the CA1 current clamp data in the form of python pickle files. Each file contains the data for the photodiode recordings, the photostimulation coordinates, and the associated traces for all stimuli to a single CA1 neuron. For example codes to access the data, please visit the github repository associated with the paper: https://github.com/sahilm89/linearity
CA1_1.zip
Current clamp dataset for CA3 pyramidal neurons stimulated with patterned stimulation of CA3 neurons
This zipped file contains the first part of the CA3 current clamp data in the form of python pickle files. Each file contains the data for the photodiode recordings, the photostimulation coordinates, and the associated traces for all stimuli to a single CA3 neuron. For example codes to access the data, please visit the github repository associated with the paper: https://github.com/sahilm89/linearity
CA3.zip
Current clamp dataset for CA1 pyramidal neurons stimulated with patterned stimulation of CA3 neurons - part 2
This zipped file contains the second part of the CA1 current clamp data in the form of python pickle files. Each file contains the data for the photodiode recordings, the photostimulation coordinates, and the associated traces for all stimuli to a single CA1 neuron. For example codes to access the data, please visit the github repository associated with the paper: https://github.com/sahilm89/linearity
CA1_2.zip
Current clamp dataset for CA1 pyramidal neurons stimulated with patterned stimulation of CA3 neurons (Control and GABAzine)
This zipped file contains the CA1 current clamp data in the form of python pickle files. Each file contains the data for the photodiode recordings, the photostimulation coordinates, and the associated traces for all stimuli to a single CA1 neuron both in the presence and absence of GABAzine. For example codes to access the data, please visit the github repository associated with the paper: https://github.com/sahilm89/linearity
CA1_GABAzine.zip
Voltage clamp dataset for CA1 pyramidal neurons stimulated with patterned stimulation of CA3 neurons
This zipped file contains the first part of the CA1 voltage clamp data in the form of python pickle files. Each file contains the data for the photodiode recordings, the photostimulation coordinates, and the associated traces for all stimuli to a single CA1 neuron clamped to both excitatory and inhibitory reversal potentials. For example codes to access the data, please visit the github repository associated with the paper: https://github.com/sahilm89/linearity.
voltageClamp.zip