#stochasticity — Public Fediverse posts

Open-source, low-cost, Raspberry Pi-based experimental setup for implementing stochastic time series for temperature, oxygen concentration or pH in mesocosms.

#Science #Biology #Ecology #raspberrypi #opensource #Stochasticity #Temperature #climatechange #Fish

📄 Souques et al. (2025) All-in-one, versatile and low-cost experimental set-up to implement environmental stochasticity in mesocosms (PiStoch). Methods in Ecology and Evolution http://dx.doi.org/10.1111/2041-210X.70094

Open-source, low-cost, Raspberry Pi-based experimental setup for implementing stochastic time series for temperature, oxygen concentration or pH in mesocosms.

#Science #Biology #Ecology #raspberrypi #opensource #Stochasticity #Temperature #climatechange #Fish

📄 Souques et al. (2025) All-in-one, versatile and low-cost experimental set-up to implement environmental stochasticity in mesocosms (PiStoch). Methods in Ecology and Evolution http://dx.doi.org/10.1111/2041-210X.70094

Open-source, low-cost, Raspberry Pi-based experimental setup for implementing stochastic time series for temperature, oxygen concentration or pH in mesocosms.

#Science #Biology #Ecology #raspberrypi #opensource #Stochasticity #Temperature #climatechange #Fish

📄 Souques et al. (2025) All-in-one, versatile and low-cost experimental set-up to implement environmental stochasticity in mesocosms (PiStoch). Methods in Ecology and Evolution http://dx.doi.org/10.1111/2041-210X.70094

Open-source, low-cost, Raspberry Pi-based experimental setup for implementing stochastic time series for temperature, oxygen concentration or pH in mesocosms.

#Science #Biology #Ecology #raspberrypi #opensource #Stochasticity #Temperature #climatechange #Fish

📄 Souques et al. (2025) All-in-one, versatile and low-cost experimental set-up to implement environmental stochasticity in mesocosms (PiStoch). Methods in Ecology and Evolution http://dx.doi.org/10.1111/2041-210X.70094

Now available ahead of print: "Allee Effects, Colonization, and Extinction: The Surprising Benefits of Demographic Stochasticity" by Angela Gong, Emma J. Walker, and Benjamin Gilbert

https://www.journals.uchicago.edu/doi/10.1086/735833

#allele #extinction #colonization #demographic #stochasticity

Now available ahead of print: "Allee Effects, Colonization, and Extinction: The Surprising Benefits of Demographic Stochasticity" by Angela Gong, Emma J. Walker, and Benjamin Gilbert

https://www.journals.uchicago.edu/doi/10.1086/735833

#allele #extinction #colonization #demographic #stochasticity

Now available ahead of print: "Allee Effects, Colonization, and Extinction: The Surprising Benefits of Demographic Stochasticity" by Angela Gong, Emma J. Walker, and Benjamin Gilbert

https://www.journals.uchicago.edu/doi/10.1086/735833

#allele #extinction #colonization #demographic #stochasticity

Now available ahead of print: "Allee Effects, Colonization, and Extinction: The Surprising Benefits of Demographic Stochasticity" by Angela Gong, Emma J. Walker, and Benjamin Gilbert

https://www.journals.uchicago.edu/doi/10.1086/735833

#allele #extinction #colonization #demographic #stochasticity

Now available ahead of print: "Allee Effects, Colonization, and Extinction: The Surprising Benefits of Demographic Stochasticity" by Angela Gong, Emma J. Walker, and Benjamin Gilbert

https://www.journals.uchicago.edu/doi/10.1086/735833

#allele #extinction #colonization #demographic #stochasticity

When is it adaptive for populations to "hedge their bets," even if it means doing worse on average? Weissman et al. find that incorporating stochasticity in models changes the extent to which we expect this strategy to evolve. Read now ahead of print!
https://www.journals.uchicago.edu/doi/10.1086/735690

#population #stochasticity #evolution #strategy

When is it adaptive for populations to "hedge their bets," even if it means doing worse on average? Weissman et al. find that incorporating stochasticity in models changes the extent to which we expect this strategy to evolve. Read now ahead of print!
https://www.journals.uchicago.edu/doi/10.1086/735690

#population #stochasticity #evolution #strategy

When is it adaptive for populations to "hedge their bets," even if it means doing worse on average? Weissman et al. find that incorporating stochasticity in models changes the extent to which we expect this strategy to evolve. Read now ahead of print!
https://www.journals.uchicago.edu/doi/10.1086/735690

#population #stochasticity #evolution #strategy

When is it adaptive for populations to "hedge their bets," even if it means doing worse on average? Weissman et al. find that incorporating stochasticity in models changes the extent to which we expect this strategy to evolve. Read now ahead of print!
https://www.journals.uchicago.edu/doi/10.1086/735690

#population #stochasticity #evolution #strategy

When is it adaptive for populations to "hedge their bets," even if it means doing worse on average? Weissman et al. find that incorporating stochasticity in models changes the extent to which we expect this strategy to evolve. Read now ahead of print!
https://www.journals.uchicago.edu/doi/10.1086/735690

#population #stochasticity #evolution #strategy

@PeerCommunityIn Now published in Peer Community Journal, #Ecology section: Data #Stochasticity and Model Parametrisation Impact the Performance of #SpeciesDistributionModels: Insights from a Simulation Study https://doi.org/10.24072/pcjournal.263

@PeerCommunityIn Now published in Peer Community Journal, #Ecology section: Data #Stochasticity and Model Parametrisation Impact the Performance of #SpeciesDistributionModels: Insights from a Simulation Study https://doi.org/10.24072/pcjournal.263

@PeerCommunityIn Now published in Peer Community Journal, #Ecology section: Data #Stochasticity and Model Parametrisation Impact the Performance of #SpeciesDistributionModels: Insights from a Simulation Study https://doi.org/10.24072/pcjournal.263

@PeerCommunityIn Now published in Peer Community Journal, #Ecology section: Data #Stochasticity and Model Parametrisation Impact the Performance of #SpeciesDistributionModels: Insights from a Simulation Study https://doi.org/10.24072/pcjournal.263

A new #preprint #OpenScience #PeerReview by #PCI_Ecology: Lambert, Charlotte, and Auriane Virgili (2023). Data #Stochasticity and Model Parametrisation Impact the Performance of #SpeciesDistributionModels: Insights from a Simulation Study. #bioRxiv #Ecology. https://doi.org/10.1101/2023.01.17.524386

A new #preprint #OpenScience #PeerReview by #PCI_Ecology: Lambert, Charlotte, and Auriane Virgili (2023). Data #Stochasticity and Model Parametrisation Impact the Performance of #SpeciesDistributionModels: Insights from a Simulation Study. #bioRxiv #Ecology. https://doi.org/10.1101/2023.01.17.524386

A new #preprint #OpenScience #PeerReview by #PCI_Ecology: Lambert, Charlotte, and Auriane Virgili (2023). Data #Stochasticity and Model Parametrisation Impact the Performance of #SpeciesDistributionModels: Insights from a Simulation Study. #bioRxiv #Ecology. https://doi.org/10.1101/2023.01.17.524386

A new #preprint #OpenScience #PeerReview by #PCI_Ecology: Lambert, Charlotte, and Auriane Virgili (2023). Data #Stochasticity and Model Parametrisation Impact the Performance of #SpeciesDistributionModels: Insights from a Simulation Study. #bioRxiv #Ecology. https://doi.org/10.1101/2023.01.17.524386

A new #preprint #OpenScience #PeerReview by #PCI_Ecology: Lambert, Charlotte, and Auriane Virgili (2023). Data #Stochasticity and Model Parametrisation Impact the Performance of #SpeciesDistributionModels: Insights from a Simulation Study. #bioRxiv #Ecology. https://doi.org/10.1101/2023.01.17.524386

Which mechanisms for neural exploration/sampling do you think of as most likely?

1. Periodic and quasi-periodic sweeps
2. 'Real' random perturbations
3. Pseudo-random and/or chaotic pattern generators
4. Deterministic, non-periodic 'principled' exploration

I suspect that the answer is 'all of the above'.

Am I missing any plausible mechanisms?

#Neuroscience #Randomness #Stochasticity #Exploration

Which mechanisms for neural exploration/sampling do you think of as most likely?

1. Periodic and quasi-periodic sweeps
2. 'Real' random perturbations
3. Pseudo-random and/or chaotic pattern generators
4. Deterministic, non-periodic 'principled' exploration

I suspect that the answer is 'all of the above'.

Am I missing any plausible mechanisms?

#Neuroscience #Randomness #Stochasticity #Exploration

Which mechanisms for neural exploration/sampling do you think of as most likely?

1. Periodic and quasi-periodic sweeps
2. 'Real' random perturbations
3. Pseudo-random and/or chaotic pattern generators
4. Deterministic, non-periodic 'principled' exploration

I suspect that the answer is 'all of the above'.

Am I missing any plausible mechanisms?

#Neuroscience #Randomness #Stochasticity #Exploration

Which mechanisms for neural exploration/sampling do you think of as most likely?

1. Periodic and quasi-periodic sweeps
2. 'Real' random perturbations
3. Pseudo-random and/or chaotic pattern generators
4. Deterministic, non-periodic 'principled' exploration

I suspect that the answer is 'all of the above'.

Am I missing any plausible mechanisms?

#Neuroscience #Randomness #Stochasticity #Exploration

Which mechanisms for neural exploration/sampling do you think of as most likely?

1. Periodic and quasi-periodic sweeps
2. 'Real' random perturbations
3. Pseudo-random and/or chaotic pattern generators
4. Deterministic, non-periodic 'principled' exploration

I suspect that the answer is 'all of the above'.

Am I missing any plausible mechanisms?

#Neuroscience #Randomness #Stochasticity #Exploration