Questions About Quantifiers: Symbolic and Nonsymbolic Quantity Processing by the Brain.

One approach to understanding how the human cognitive system stores and operates with quantifiers such as "some," "many," and "all" is to investigate their interaction with the cognitive mechanisms for estimating and comparing quantities from perceptual input (i.e., nonsymbolic quantities).

Processing symbolic magnitude information conveyed by number words and by scalar adjectives.

Humans not only process and compare magnitude information such as size, duration, and number perceptually, but they also communicate about these properties using language. In this respect, a relevant class of lexical items are so-called like "big," "long," "loud," and so on which refer to magnitude information. It has been proposed that humans use an amodal and abstract representation format shared by different dimensions, called (GMS).

Semantic and syntactic composition of minimal adjective-noun phrases in Dutch: An MEG study.

The possibility to combine smaller units of meaning (e.g., words) to create new and more complex meanings (e.

Generics and Alternatives.

In this paper we argue that for the (probabilistic) interpretation of generic sentences of the form "s are ," three types of alternatives play a role: (i) alternative features of , (ii) alternative groups, or kinds, of , and (iii) alternative causal background factors. In the first part of this paper we argue for the relevance of these alternatives. In the second part, we describe the results of some experiments that empirically tested in particular the second use of alternatives.

Conducting Web-Based Experiments for Numerical Cognition Research.

It is becoming increasingly popular and straightforward to collect data in cognitive psychology through web-based studies. In this paper, I review issues around web-based data collection for the purpose of numerical cognition research. Provided that the desired type of data can be collected through a web-browser, such online studies offer numerous advantages over traditional forms of physical lab-based data collection, such as gathering data from larger sample sizes in shorter time-windows and easier access to non-local populations.

Introducing a replication-first rule for Ph.D. projects.

Zwaan et al. mention that young researchers should conduct replications as a small part of their portfolio. We extend this proposal and suggest that conducting and reporting replications should become an integral part of Ph.