PV inhibition is reallocated rather than weakened by deprivation, and its computational job is assigned locally

Question: How do parvalbumin interneuron sensory tuning and network-level inhibitory dynamics change across different cortical areas during experience-dependent plasticity induced by sensory deprivation?

Answer

Across the retrieved papers, deprivation does not produce a single, transferable PV signature: it re-tunes PV cells toward the spared input within deprived territory while leaving spared territory comparatively unchanged [3], it acts as a bidirectional gate whose removal or enhancement scales the amount of plasticity rather than determining its direction [10] [13], and its network consequence is a shift in inhibitory-to-inhibitory coupling that arrives on a slower timescale than the excitatory changes [15]. What differs across cortical areas is therefore not the polarity of the PV response but the computation PV inhibition is wired to perform at that location: divisive gain in granular layers versus tuned nonlinear suppression in extra-granular layers of primate V1 [1], noise-geometry shaping of population discriminability [6], and receptive-field-fidelity control in auditory cortex [14]. Taken together, these papers support a position in which area identity sets the function that deprivation-modulated PV inhibition will alter, while deprivation itself sets which inputs the PV population is tuned to.

In deprived barrels, PV cells are re-tuned toward the spared input rather than silenced

At baseline, PV cells in barrel cortex show spatially distributed whisker responses, firing best to the principal whisker of their barrel and less to surround whiskers in a distance-dependent manner [3]. During chronic whisker trimming, PV cells responsive to the spared whisker are substantially recruited in deprived barrels but not in spared barrels, and this recruitment reverses on whisker regrowth even though individual PV cell whisker selectivity changes can persist for weeks [3]. This is a topographic reallocation of PV tuning into the deprived column, not a uniform loss of PV responsiveness. Critically, the same deprivation-like logic need not be visible in excitatory tuning at all: in adult visual cortex where critical-period plasticity was sustained by removing aggrecan from excitatory neurons, plasticity was accompanied by reduced excitatory synaptic input onto layer 2/3 PV+ interneurons while layer 2/3 excitatory neurons retained normal response strength and tuning [12]. PV input plasticity and excitatory tuning plasticity are therefore dissociable, and measuring only one will misrank areas.

PV-mediated inhibition gates the magnitude of deprivation-induced plasticity bidirectionally

Two hours of monocular deprivation produces reversible ocular dominance shifts in adult mouse V1, and transient PV suppression amplifies these shifts to juvenile-like levels whereas PV enhancement constrains or abolishes them [10]. The same bidirectional logic holds upstream of cortex: cortical PV interneurons act as a brake on retinogeniculate refinement, with PV ablation enhancing pruning, and manipulating the relative balance between cortical SST and PV circuits regulates deprivation-induced retinogeniculate remodeling [13]. PV participation in plasticity is also state-gated rather than fixed: transplanted and host PV and SST interneurons both have their visually evoked activity and tuning modulated by the host's locomotor state, and the transplanted interneurons must be active to induce plasticity [8]. Read together, these results make PV inhibition a gain control on plasticity magnitude — its tuning changes are the readout of that gate being set, not the plasticity itself.

The computational function of a PV cell is assigned by laminar and areal position

In marmoset V1, PV+ cells implement divisive/multiplicative linear gain control in granular layers but tuned nonlinear suppression that sharpens orientation tuning in extra-granular layers, a laminar dissociation the authors present as reconciling divergent rodent results [1]. PV activation in the same preparation improves population discriminability without expanding the stimulus-related signal, by compressing shared trial-to-trial variability and rotating it away from the stimulus-coding direction [6]. In mouse auditory cortex, PV suppression broadly alters spatial tuning — width, modulation depth, centroid, sparseness — and reduces target discriminability in clean conditions, whereas SST suppression leaves spatial tuning largely intact and impairs discrimination only under masking [14]. Within mouse binocular V1, PV but not SST interneurons show sublinear binocular summation consistent with inhibition-stabilized network properties, indicating that class-specific circuit motifs rather than cellular properties set the dynamics [16]. Even the temporal division of labour is area-instantiated: during patterned microstimulation, PV provides fast-adapting feedforward inhibition and SOM slower facilitating feedback, with PV neurons more strongly activated by fixed-frequency patterns [4]. Anatomy supports the same point at a coarser grain: PV is a feedforward marker whose density varies steeply across macaque areas but only weakly across mouse areas [7], and PV-associated extracellular matrix and fast-spiking properties are remodeled region-specifically between prefrontal and somatosensory cortex [18].

Prolonged deprivation acts on inhibitory-to-inhibitory connectivity, converting the circuit into a disinhibitory regime

One day of monocular deprivation during the critical period transiently reconfigures local excitatory synapses onto PV- and VIP-expressing interneurons, whereas prolonged deprivation primarily strengthens inhibitory transmission from SST to PV and from SST to VIP interneurons in both layers 2/3 and 4 [15]. This predicts that the network-level inhibitory change during sustained deprivation is not a change in PV output per se but a change in the disinhibitory drive onto PV cells. Modeling constrains how far this can go: inhibition from SOM to PV interneurons must remain limited for the network to make gradual transitions from asynchrony to synchrony, and SOM cells are the principal driver of network synchrony [5]. Network timing is likewise ordered by cell class, with PV activity consistently leading SOM activity in E-PV-SOM circuits [19]. The excitatory side of deprivation does not wait for this: prolonged dark exposure and light reintroduction drive robust, reversible presynaptic plasticity at thalamocortical synapses in adult V1 [11], so feedforward drive and inhibitory re-wiring are engaged on separate schedules.

Deprivation-induced PV plasticity is behaviourally consequential and is a manipulable lever

Sensory experience and PV cellular signalling interact during a restricted window: whisker trimming limited to the third postnatal week prevented mTORC1 hyperactivation, PV input and output connectivity deficits, and abnormal tactile cortical responses and behaviour in adult mutants [2]. In higher-order auditory cortex, brief 40-Hz optogenetic activation of PV neurons durably reversed lateral amygdala sensitization after noise-induced hearing loss, normalized pupil-indexed arousal, and reinstated discriminative auditory threat memory [17]. PV output plasticity during sensory learning is itself target- and layer-specific and sex-dependent, with evoked PV-IPSCs suppressed in layer 2/3 but not layer 5 pyramidal neurons, only in females, at training onset [9].

Conflicts and gaps

The retrieved papers disagree on whether deprivation-induced PV change permits or restrains plasticity. PV suppression amplifies ocular dominance shifts [10] and PV ablation enhances retinogeniculate pruning [13], yet whisker trimming recruits spared-whisker-responsive PV cells into deprived barrels [3] — a net addition of inhibition in exactly the territory undergoing remapping. No retrieved study resolves whether that recruitment is the mechanism of remapping or a compensatory brake on it. Second, the causal arrow between PV tuning and excitatory tuning is unresolved: PV manipulation reshapes orientation tuning and population noise geometry [1] [6], but plasticity can proceed with excitatory tuning unchanged while only PV input strength falls [12]. Third, the cross-area claim is inferential: deprivation-plus-PV-tuning data come from mouse barrel cortex and mouse/primate V1, auditory deprivation work uses PV activation therapeutically rather than measuring deprivation-induced PV tuning [17], and no retrieved paper performs the same deprivation protocol with PV measurements in two areas of the same animal. Species is a live confound, since primate laminar data are explicitly offered as a reconciliation of rodent discrepancies [1] and PV density gradients differ markedly between primates and mice [7].

What would change the answer

A within-animal comparison applying one deprivation protocol (e.g., unilateral whisker trimming or monocular deprivation) to two areas while longitudinally imaging PV and pyramidal populations would directly test whether PV re-recruitment is a barrel-cortex peculiarity or a general rule. Pairing that with conductance-based or voltage-imaging measurements of inhibitory synaptic conductance in deprived versus spared territory would establish whether recruited PV cells deliver more or less inhibition per spike. Cell-type-specific bidirectional manipulations performed at multiple timepoints in the same deprivation sequence would separate the gate from the brake. Genetic access to PV cells in marmosets, applied to deprivation rather than acute optogenetics, would test the primate laminar dissociation under plasticity. Finally, a standardized deprivation timeline — hours, one day, chronic, and recovery — across areas and species is required, given that one-day and prolonged monocular deprivation produce qualitatively different synaptic reconfigurations [15].

References

[1] Vafaei, A., Clark, A. M., khadir, A., Dai, W., Federer, F., Angelucci, A.. "Laminar-specific control of response gain and orientation-tuning byparvalbumin-expressing inhibitory interneurons in primate visual cortex". bioRxiv. 2025-12-24T00:00:00.000Z. URL: https://doi.org/10.64898/2025.12.23.696300

[2] Amegandjin, C. A., Carreno-Munoz, M.-I., Francavilla, R., Damo Kamda, J. L., Roussel, M., Fernandes do Nascimento, A. S., Farley, A., Chehrazi, P., Ciancone Chama, A., Chattopadhyaya, B., Di Cristo, G.. "Sensory experience and mTORC1 interplay orchestrates the maturation of cortical interneuron connectivity and tactile sensitivity". bioRxiv. 2026-07-23T00:00:00.000Z. URL: https://doi.org/10.64898/2026.07.22.740050

[3] Campos, B., Yang, X., Marmouset-de la Taille, I., Dipoppa, M., Zeiger, W. A.. "Dynamic recruitment of PV interneurons in the somatosensory cortex induced by experience dependent plasticity". bioRxiv. 2026-10-19T00:00:00.000Z. URL: https://doi.org/10.1101/2025.06.27.662081

[4] Hughes, C. L., Kozai, T. D.. "Temporal modulation of cortical parvalbumin and somatostatin neurons shapes network activation and adaptation during microstimulation". bioRxiv. 2026-10-19T00:00:00.000Z. URL: https://doi.org/10.64898/2026.10.17.759837

[5] Edwards, M. M., Rubin, J., Huang, C.. "State modulation in spatial networks with three interneuron subtypes". bioRxiv. 2025-04-17T00:00:00.000Z. URL: https://doi.org/10.1101/2024.08.23.609417

[6] Cole, S., Hildebrand, D. G. C., Nurminen, L.. "Parvalbumin-expressing interneurons improve sensory discrimination by shaping noise geometry in primate V1". bioRxiv. 2026-06-15T00:00:00.000Z. URL: https://doi.org/10.64898/2026.06.11.731577

[7] Glatigny, M., Geffroy, F., van Kerkoerle, T.. "Comparison of the cortical hierarchy between macaque monkeys and mice based on cell-type specific microcircuits". bioRxiv. 2024-10-31T00:00:00.000Z. URL: https://doi.org/10.1101/2024.10.31.621258

[8] Rakela, B., Sun, J., Marchetta, P., Alvarez-Buylla, A., Hasenstaub, A. R., Stryker, M. P.. "Integration of Transplanted Interneurons Over a New Period of Ocular Dominance Plasticity in Adult Mouse Visual Cortex". bioRxiv. 2025-01-08T00:00:00.000Z. URL: https://doi.org/10.1101/2024.12.27.630358

[9] Park, E., Kuljis, D. A., Myal, S. E., Christian, J. A., Barth, A. L.. "Sexually dimorphic plasticity of PV inhibition in sensory neocortex during learning". bioRxiv. 2026-01-12T00:00:00.000Z. URL: https://doi.org/10.64898/2026.01.10.698814

[10] Di Marco, I., Sansevero, G., Berardi, N., Sale, A.. "Short-term monocular deprivation engages rapid, inhibition-gated ocular dominance plasticity in mouse visual cortex". bioRxiv. 2026-04-14T00:00:00.000Z. URL: https://doi.org/10.64898/2026.04.13.718078

[11] Murase, S., Severin, D., Pranger, A., Dye, L., Moreno, C., Mesik, L., Liu, J., Kirkwood, A., Quinlan, E. M.. "Visual deprivation in adulthood engages presynaptic plasticity of thalamocortical synapses". bioRxiv. 2026-08-21T00:00:00.000Z. URL: https://doi.org/10.64898/2026.08.17.745313

[12] Crouse, E. C., Brown, T. C., Ma, X., Ma, H., Karpowich, K. R., Barber, K., Chen, P., Qiu, S., McGee, A. W.. "Neuropil aggrecan, not perineuronal nets, closes the critical period for visual plasticity". bioRxiv. 2026-08-22T00:00:00.000Z. URL: https://doi.org/10.64898/2026.07.26.740801

[13] JIANG, Q., Wu, S. J., Fishell, G., Chen, C.. "Reciprocal interaction between cortical SST and PV interneurons in regulating top-down retinothalamic refinement". bioRxiv. 2025-01-19T00:00:00.000Z. URL: https://doi.org/10.1101/2025.01.18.633032

[14] Qu, Z., Nocon, J. C., Sen, K., Gritton, H.. "Parvalbumin and somatostatin interneurons support distinct computations during auditory scene analysis". bioRxiv. 2026-07-10T00:00:00.000Z. URL: https://doi.org/10.64898/2026.07.08.736456

[15] Yao, L., Shang, Z., Ji, Z., Meng, M., Wang, F., Gu, X., He, M., Wu, S., Zhang, X.. "Systematic microcircuit reconfigurations underlie early experience-induced visual cortical plasticity". bioRxiv. 2025-12-23T00:00:00.000Z. URL: https://doi.org/10.64898/2025.12.21.695847

[16] Perumal, M. B., Bushnell, H., Dopp, D., Gharaei, S., Arabzadeh, E., Nair, S. S., Stuart, G. J.. "Cell-type specific inhibitory dynamics shape binocular response normalization in visual cortex". bioRxiv. 2026-09-24T00:00:00.000Z. URL: https://doi.org/10.64898/2026.09.20.753031

[17] Awwad, B., Polley, D. B.. "Cortical inhibitory potentiation reverses maladaptive amygdala plasticity after noise-induced hearing loss". bioRxiv. 2026-04-06T00:00:00.000Z. URL: https://doi.org/10.64898/2026.04.02.716147

[18] Belz, L., Aouci, R., Allain, B., Henderson, F., Fontaine, A., Desgagne, P., Calzaroni, L., Fabre, V., Pardi, M. B., Levi, G., Narboux-Neme, N.. "Dlx5/6 regulate perineuronal net-synapse coupling and stabilize adult cortical Parvalbumin neurons networks". bioRxiv. 2026-07-24T00:00:00.000Z. URL: https://doi.org/10.64898/2026.07.23.740286

[19] Tahvili, F., Vinck, M., Di Volo, M.. "A mean-field model of neural networks with PV and SOM interneurons reveals connectivity-based mechanisms of gamma oscillations". bioRxiv. 2025-10-24T00:00:00.000Z. URL: https://doi.org/10.1101/2025.10.23.684108

How this survey was made

This survey answers one question: “How do parvalbumin interneuron sensory tuning and network-level inhibitory dynamics change across different cortical areas during experience-dependent plasticity induced by sensory deprivation?”

We keep our own collection of recent preprints and refresh it every day from bioRxiv, medRxiv, arXiv, PsyArXiv, SocArXiv and ChemRxiv. For each survey, we search that collection for recent work and keep the strongest matches: papers that use the same terms as the question, and papers on the same topic in different words.

The text was written from the titles and abstracts of those papers; the full texts were not read. Statements that draw on a particular paper are marked with a number in brackets. The reference list just above is the 19 papers whose work this text draws on, chosen from the 170 papers those searches returned; the rest of the shortlist is not printed. It is not a complete review of everything published on the question.

Treat this as a starting point and a reading list, not a peer-reviewed review. The searches behind this survey ran on October 21, 2026 and covered work from the previous two years.