Basolateral amygdala oscillations enable fear learning in a biophysical model
- Department of Mathematics and Statistics, Boston University, United States
- Department of Biology, University of Southern California, United States
Figures
Figure 1
Isolated neurons produce fundamental rhythms.
(A) dynamics in response to depolarizing and hyperpolarizing currents mimic the electrophysiological behavior of BLA interneurons classified in Sosulina et al., 2010. (B) dynamics in the baseline …
Figure 2
BLA interneurons and the excitatory projection neurons interact and modulate the network activity.
(A) (top): Network made of three interneurons (VIP, SOM, and PV) and the excitatory projection neuron encoding fear (F) without US input (left) and with US input (right). (A) (bottom): before the …
Figure 3
ECS to F conductance across network realizations.
(A) Mean (color-coded curves) and standard deviation (color-coded shaded areas) of the AMPA conductance (gAMPA) from ECS to F across 40 network realizations over 40 s. Red curve and shaded area …
Figure 4
PV-only network and VIP-PV network lead to depression.
(A) Left, network with PV as the only interneuron. PV cell is at an excitation level that supports PING. Middle, dynamics of PV and F that reciprocally interact and generate PING. Right, PV and F …
Figure 5
Heterogeneous BLA fear network is capable of establishing the association between CS and fear.
(A) whole BLA network with multiple and heterogeneous neurons. (B) Dynamics in the first 5000ms after the onset of US and CS of each of the neurons in the BLA network. (C) Dynamics of ECS to F …
Figure 6
Heterogeneous network dynamics and spectral properties pre versus post fear conditioning for network realizations in learners and non-learners.
All power spectra are represented as mean and standard deviation across 20 network realizations. (A) Dynamic of BLA heterogeneous networks pre (left) and post (learner, middle; non-learner, right) …
Appendix 1—figure 1
Power spectra of neuronal spiking activity at baseline.
(A) Power spectrum of VIP cell showing a first peak at low theta (~3.5 Hz), plus harmonics, and a second peak at gamma (~38 Hz). (B) SOM cell power spectrum showing a peak at high theta (~12 Hz). …
Appendix 1—figure 2
Plasticity rule and detailed representation of how plasticity works in the three network configurations shown in Figure 2B and Figure 4A and B.
(A) Left, STDP potentiation (P) and depression (M) functions. The area underlying depression is larger than the one of potentiation, thus providing a depression-dominated rule. The potentiation and …
Appendix 1—figure 3
ECS to F conductance across network realizations in BLA characterized by US, instead of CS, input to PV interneuron.
(A) Mean (color-coded curves) and standard deviation (color-coded shaded areas) of the AMPA conductance (gAMPA) from ECS to F across 40 network realizations over 40 seconds. (B) Evolution in time of …
Appendix 1—figure 4
Depression-dominated and classical Hebbian plasticity rules may provide opposite potentiation/depression profiles.
Top, depression-dominated rule (as in Appendix 1—figure 2A) with three examples of pre and postsynaptic spike patterns. Only the first one, which shows a consistent pre-post timing, shows overall …
Appendix 1—figure 5
Spectral properties pre versus post fear conditioning of LFP approximated with the sum of the absolute values of AMPA, GABA, D-, NaP-, and H-currents.
Power spectra before fear conditioning (blue) and after successful (purple) and non-successful fear conditioning (orange); top, right: inset between 2 and 6 Hz. Blue and orange curves closely overlap.
