The interaction of nature and nurture.

By J. Haldane. 1946

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Relational inductive biases, deep learning, and graph networks (2018, background): “In other contexts, an inductive bias might be a regularization term (McClelland, 1994) added to avoid overfitting, or it might be encoded in the architecture of the algorithm itself.”
Strategy for investigating interactions between measured genes and measured environments. (2005, background): “Gene-environment interaction (GxE) has a long scientific history.(1) However, only recently has behavioral science begun to grapple empirically with GxE involving measured genes.”
Conjunctive representations in learning and memory: principles of cortical and hippocampal function. (2001, methodology): “A more complete understanding of pattern separation can be achieved by considering the concept of a unit's activation threshold—how much excitation it requires to overcome the inhibitory competition from other units (Marr, 1969; O'Reilly & McClelland, 1994).”
Biologically Plausible Error-Driven Learning Using Local Activation Differences: The Generalized Recirculation Algorithm (1996, background): “This idea that the brain is constantly generating expectations about subsequent events, and that the discrepancies between these expectations and subsequent outcomes can be used for error-driven learning, has been suggested by McClelland (1994) as a psychological interpretation of the backpropagatio”
Biplot Analysis of Genotype × Environment Interaction: Proceed with Caution (2009, background): “Smith et al. (2005) argued that genotypic eff ects should be random because selection of best lines or cultivars through rankings rather than comparisons is the main goal either in the early “breeding” phase or in advanced “evaluation” phase.”
Integrating Multivariate and Univariate Statistical Models to Investigate Genotype–Environment Interaction of Advanced Fragrant Rice Genotypes under Rainfed Condition (2021, background): “As Haldane [22] reported, GEI is essential in a condition where a cultivar performs differently in a diverse environment.”
The role of genotypic diversity in determining grassland community structure under constant environmental conditions (2007, background): “…intransitive competitive hierarchies amongst genotypes or on intraspecific adaptive diversity involve the interaction between individual genotypes and their environment, such that fitness is determined by a product of genotype and environment (a genotype by environment interaction, Haldane 1946).”
Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. (1995, background): “The use of sparse, conjunctive coding in the hippocampus means that its representations of situations that differ only slightly may have relatively little overlap (Marr, 1969; McNaughton & Morris, 1987; O'Reilly & McClelland, 1994).”